def featureExtraction(fileDir, minCount, maxCount, leftLight):
userHp1 = []
userLp1 = []
userLhpl1 = []
userLlpl1 = []
userHpl1 = []
userLpl1 = []
userLhpg1 = []
userLlpg1 = []
userRhpg1 = []
userRlpg1 = []
userBlink1 = []
userNotBlink1 = []
for count in range(minCount, maxCount):
file = open(fileDir + '/file' + str(count) + '-' + str(leftLight) + '.txt', 'r')
x = file.read()
file.close()
x = x.split(',')
data1 = []
for index, item in enumerate(x):
data1.append(float(item))
for index, item in enumerate(x):
if(index != len(data1) -1):
data1[index] = data1[index + 1]
temp = 0
index = 0
start1 = []
middle1 = []
finish1 = []
for i in range(0, len(data1)):
if((temp + 150 < i) and (data1[i] > 100)):
for j in range(i, 0, -1):
if(data1[j] <= 0):
start1.append(j)
break
for j in range(start1[index] + 1, len(data1)):
if(data1[j] <= 0):
middle1.append(j)
break
for j in range(middle1[index] + 1, len(data1)):
if(data1[j] >= 0):
finish1.append(j)
break
i = finish1[index]
index = index + 1
temp = i
temp = 0
hp1 = []
lp1 = []
lhpl1 = []
llpl1 = []
hpl1 = []
lpl1 = []
lhpg1 = []
llpg1 = []
rhpg1 = []
rlpg1 = []
blink1 = []
notBlink1 = []
index = 0;
for i in range(start1[0], finish1[len(finish1) - 1]):
hp1.append(0)
lp1.append(0)
lhpl1.append(0)
llpl1.append(0)
hpl1.append(0)
lpl1.append(0)
lhpg1.append(0)
llpg1.append(0)
rhpg1.append(0)
rlpg1.append(0)
blink1.append(0)
notBlink1.append(0)
for j in range(start1[index], finish1[index]):
if(hp1[index] < data1[j]):
hp1[index] = data1[j]
lhpl1[index] = j - start1[index]
for j in range(start1[index], finish1[index]):
if(hp1[index] > data1[j]):
lp1[index] = data1[j]
llpl1[index] = j - start1[index]
hpl1[index] = middle1[index] - start1[index]
lpl1[index] = finish1[index] - middle1[index]
lhpg1[index] = hp1[index] / lhpl1[index]
llpg1[index] = lp1[index] / llpl1[index]
rhpg1[index] = hp1[index] / (hpl1[index] - lhpg1[index])
rlpg1[index] = lp1[index] / (lpl1[index] - llpl1[index])
index = index + 1
if(len(start1) == index):
break
i = start1[index]
index = 0;
for i in range(0, len(finish1)):
blink1[i] = finish1[i] - start1[i]
for i in range(0, len(finish1) - 1):
notBlink1[i] = start1[i + 1] - finish1[i]
for i in range(0, len(finish1)):
userHp1.append(hp1[i])
userLp1.append(lp1[i])
userLhpl1.append(lhpl1[i])
userLlpl1.append(llpl1[i])
userHpl1.append(hpl1[i])
userLpl1.append(lpl1[i])
userLhpg1.append(lhpg1[i])
userLlpg1.append(llpg1[i])
userRhpg1.append(rhpg1[i])
userRlpg1.append(rlpg1[i])
userBlink1.append(blink1[i])
userNotBlink1.append(notBlink1[i])
return userHp1, userLp1, userLhpl1, userLlpl1, userHpl1, userLpl1, userLhpg1, userLlpg1, userRhpg1, userRlpg1, userBlink1, userNotBlink1
user1Data = []
user1Label = []
userHp1, userLp1, userLhpl1, userLlpl1, userHpl1, userLpl1, userLhpg1, userLlpg1, userRhpg1, userRlpg1, userBlink1, userNotBlink1 = featureExtraction('C:/EOGData/user1', 0, 49, 1)
userHp2, userLp2, userLhpl2, userLlpl2, userHpl2, userLpl2, userLhpg2, userLlpg2, userRhpg2, userRlpg2, userBlink2, userNotBlink2 = featureExtraction('C:/EOGData/user1', 0, 49, 2)
sum = len(userHp1) +len(userHp2)
userHp1 = userHp1 + userHp2
userLp1 = userLp1 + userLp2
userLhpl1 = userLhpl1 + userLhpl2
userLlpl1 = userLlpl1 + userLlpl2
userHpl1 = userHpl1 + userHpl2
userLpl1 = userLpl1 + userLpl2
userLhpg1 = userLhpg1 + userLhpg2
userLlpg1 = userLlpg1 + userLlpg2
userRhpg1 = userRhpg1 + userRhpg2
userRlpg1 = userRlpg1 + userRlpg2
userBlink1 = userBlink1 + userBlink2
userNotBlink1 = userNotBlink1 + userNotBlink2
for i in range(0, sum):
user1Data.append([userHp1[i], userLp1[i], userLhpl1[i], userLlpl1[i], userHpl1[i], userLpl1[i], userLhpg1[i], userLlpg1[i], userRhpg1[i], userRlpg1[i]])
user1Label.append(0)
user2Data = []
user2Label = []
userHp1, userLp1, userLhpl1, userLlpl1, userHpl1, userLpl1, userLhpg1, userLlpg1, userRhpg1, userRlpg1, userBlink1, userNotBlink1 = featureExtraction('C:/EOGData/user2', 0, 49, 1)
userHp2, userLp2, userLhpl2, userLlpl2, userHpl2, userLpl2, userLhpg2, userLlpg2, userRhpg2, userRlpg2, userBlink2, userNotBlink2 = featureExtraction('C:/EOGData/user2', 0, 49, 2)
sum = len(userHp1) +len(userHp2)
userHp1 = userHp1 + userHp2
userLp1 = userLp1 + userLp2
userLhpl1 = userLhpl1 + userLhpl2
userLlpl1 = userLlpl1 + userLlpl2
userHpl1 = userHpl1 + userHpl2
userLpl1 = userLpl1 + userLpl2
userLhpg1 = userLhpg1 + userLhpg2
userLlpg1 = userLlpg1 + userLlpg2
userRhpg1 = userRhpg1 + userRhpg2
userRlpg1 = userRlpg1 + userRlpg2
userBlink1 = userBlink1 + userBlink2
userNotBlink1 = userNotBlink1 + userNotBlink2
for i in range(0, sum):
user2Data.append([userHp1[i], userLp1[i], userLhpl1[i], userLlpl1[i], userHpl1[i], userLpl1[i], userLhpg1[i], userLlpg1[i], userRhpg1[i], userRlpg1[i]])
user2Label.append(1)
user3Data = []
user3Label = []
userHp1, userLp1, userLhpl1, userLlpl1, userHpl1, userLpl1, userLhpg1, userLlpg1, userRhpg1, userRlpg1, userBlink1, userNotBlink1 = featureExtraction('C:/EOGData/artifact/doridori', 0, 3, 1)
userHp2, userLp2, userLhpl2, userLlpl2, userHpl2, userLpl2, userLhpg2, userLlpg2, userRhpg2, userRlpg2, userBlink2, userNotBlink2 = featureExtraction('C:/EOGData/artifact/doridori', 0, 3, 2)
sum = len(userHp1) +len(userHp2)
userHp1 = userHp1 + userHp2
userLp1 = userLp1 + userLp2
userLhpl1 = userLhpl1 + userLhpl2
userLlpl1 = userLlpl1 + userLlpl2
userHpl1 = userHpl1 + userHpl2
userLpl1 = userLpl1 + userLpl2
userLhpg1 = userLhpg1 + userLhpg2
userLlpg1 = userLlpg1 + userLlpg2
userRhpg1 = userRhpg1 + userRhpg2
userRlpg1 = userRlpg1 + userRlpg2
userBlink1 = userBlink1 + userBlink2
userNotBlink1 = userNotBlink1 + userNotBlink2
for i in range(0, sum):
user3Data.append([userHp1[i], userLp1[i], userLhpl1[i], userLlpl1[i], userHpl1[i], userLpl1[i], userLhpg1[i], userLlpg1[i], userRhpg1[i], userRlpg1[i]])
user3Label.append(2)
import numpy as np
user1Data = np.array(user1Data)
user2Data = np.array(user2Data)
user3Data = np.array(user3Data)
user1Label = np.array(user1Label)
user2Label = np.array(user2Label)
user3Label = np.array(user3Label)
print('Number of user1 data', len(user1Data))
Number of user1 data 841
print('Number of user2 data', len(user2Data))
Number of user2 data 1516
print('Number of artifact data', len(user3Data))
Number of artifact data 882
data = np.concatenate((user1Data, user2Data, user3Data), axis=0)
len(data)
3239
label = np.concatenate((user1Label, user2Label, user3Label), axis=0)
len(label)
3239
s = np.arange(data.shape[0])
np.random.shuffle(s)
data = data[s]
label = label[s]
label
array([1, 1, 1, ..., 1, 1, 2])
tempLabel = []
testLabel = label[2600:]
for i in range(0, len(label)):
if(label[i] == 0):
tempLabel.append([1, 0])
elif(label[i] == 1):
tempLabel.append([1, 0])
else:
tempLabel.append([0, 1])
label = tempLabel
label = np.array(label)
train_data = data[:2000]
val_data = data[2000:2600]
test_data = data[2600:]
train_label = label[:2000]
val_label = label[2000:2600]
test_label = label[2600:]
myData = data[:2600]
myLabel = label[:2600]
mean = train_data.mean(axis=0)
train_data -= mean
std = train_data.std(axis=0)
train_data /= std
val_data -= mean
val_data /= std
test_data -= mean
test_data /= std
from keras import models
from keras import layers
from keras import regularizers
from keras import optimizers
Using TensorFlow backend.
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:469: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:470: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:471: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:472: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:473: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\USER\AppData\Local\conda\conda\envs\venv\lib\site-packages\tensorflow\python\framework\dtypes.py:476: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix
import pandas as pd
from sklearn.metrics import auc
from sklearn.metrics import roc_curve, roc_auc_score
import matplotlib as mpl
import matplotlib.pyplot as plt
def build_model(actiFunc, lossFunc, hidden, node, dropout):
model = models.Sequential()
model.add(layers.Dense(node[0], activation=actiFunc, input_shape=(10, )))
model.add(layers.Dropout(dropout))
if(hidden == 2):
model.add(layers.Dense(node[1], activation=actiFunc))
model.add(layers.Dropout(dropout))
if(hidden == 3):
model.add(layers.Dense(node[1], activation=actiFunc))
model.add(layers.Dropout(dropout))
model.add(layers.Dense(node[2], activation=actiFunc))
model.add(layers.Dropout(dropout))
if(hidden == 4):
model.add(layers.Dense(node[1], activation=actiFunc))
model.add(layers.Dropout(dropout))
model.add(layers.Dense(node[2], activation=actiFunc))
model.add(layers.Dropout(dropout))
model.add(layers.Dense(node[3], activation=actiFunc))
model.add(layers.Dropout(dropout))
model.add(layers.Dense(2, activation='softmax'))
model.compile(optimizer='rmsprop', loss=lossFunc, metrics=['accuracy'])
return model
import numpy as np
num_epochs = 1000
actiFunc = ['relu', 'sigmoid']
lossFunc = ['categorical_crossentropy']
hidden = [3]
node = [
[16, 8, 4], [16, 8, 8], [16, 8, 16], [16, 16, 4], [16, 16, 8], [16, 16, 16],
[32, 8, 4], [32, 8, 8], [32, 8, 16], [32, 16, 4], [32, 16, 8], [32, 16, 16],
[32, 32, 4], [32, 32, 8], [32, 32, 16], [32, 32, 32]
]
batchSize = [512]
dropout = [0, 0.1]
all_acc_histories = []
all_loss_histories = []
prev_max_acc = 0
fold = 4
num_fold = len(myData) // fold
for i in range(len(actiFunc)):
for j in range(len(lossFunc)):
for k in range(len(hidden)):
for l in range(len(node)):
for m in range(len(batchSize)):
for n in range(len(dropout)):
print('Activation:', actiFunc[i] , ' Loss:', lossFunc[j] , ' HiddenLayer:', hidden[k] , ' Node:[', node[l][0], ',', node[l][1] , ',', node[l][2], '] BatchSize:', batchSize[m], ' Dropout:', dropout[n])
for o in range(fold):
print('처리 중인 폴드 #', o)
val_data = myData[o * num_fold: (o + 1) * num_fold]
val_label = myLabel[o * num_fold: (o + 1) * num_fold]
train_data = np.concatenate([myData[:o * num_fold], myData[(o + 1) * num_fold:]], axis=0)
train_label = np.concatenate([myLabel[:o * num_fold], myLabel[(o + 1) * num_fold:]], axis=0)
model = build_model(actiFunc[i], lossFunc[j], hidden[k], node[l], dropout[n])
model.summary()
history = model.fit(train_data, train_label, validation_data=(val_data, val_label), epochs=num_epochs, batch_size=batchSize[m], verbose=False)
acc_history = history.history['val_acc']
all_acc_histories.append(acc_history)
loss_history = history.history['val_loss']
all_loss_histories.append(loss_history)
print('loss min :', min(loss_history), ' acc max:', max(acc_history))
print('loss mean :', np.mean(loss_history), ' acc mean:', np.mean(acc_history))
if(prev_max_acc < max(acc_history)):
prev_max_acc = max(acc_history)
model.save('EOG_Filtering_model.h5')
print()
print('model save!!!')
print('Activation:', actiFunc[i] , ' Loss:', lossFunc[j] , ' HiddenLayer:', hidden[k] , ' Node:[', node[l][0], ',', node[l][1] , ',', node[l][2], '] BatchSize:', batchSize[m], ' Dropout:', dropout[n])
fig, loss_ax = plt.subplots()
acc_ax = loss_ax.twinx()
loss_ax.plot(history.history['loss'], 'y', label='train loss')
loss_ax.plot(history.history['val_loss'], 'r', label='val loss')
acc_ax.plot(history.history['acc'], 'b', label='train acc')
acc_ax.plot(history.history['val_acc'], 'g', label='val acc')
loss_ax.set_xlabel('epoch')
loss_ax.set_ylabel('loss')
acc_ax.set_ylabel('accuray')
loss_ax.legend(loc='upper left')
acc_ax.legend(loc='lower left')
plt.show()
print()
print()
print('=======================================================================================================')
print()
print()
Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1 (Dense) (None, 16) 176 _________________________________________________________________ dropout_1 (Dropout) (None, 16) 0 _________________________________________________________________ dense_2 (Dense) (None, 8) 136 _________________________________________________________________ dropout_2 (Dropout) (None, 8) 0 _________________________________________________________________ dense_3 (Dense) (None, 4) 36 _________________________________________________________________ dropout_3 (Dropout) (None, 4) 0 _________________________________________________________________ dense_4 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18270664437459067 acc max: 0.9430769256445077 loss mean : 0.22494740693415588 acc mean: 0.9339538484802613 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_5 (Dense) (None, 16) 176 _________________________________________________________________ dropout_4 (Dropout) (None, 16) 0 _________________________________________________________________ dense_6 (Dense) (None, 8) 136 _________________________________________________________________ dropout_5 (Dropout) (None, 8) 0 _________________________________________________________________ dense_7 (Dense) (None, 4) 36 _________________________________________________________________ dropout_6 (Dropout) (None, 4) 0 _________________________________________________________________ dense_8 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13462250773723308 acc max: 0.956923080591055 loss mean : 0.168778780371776 acc mean: 0.9412784657540687 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_9 (Dense) (None, 16) 176 _________________________________________________________________ dropout_7 (Dropout) (None, 16) 0 _________________________________________________________________ dense_10 (Dense) (None, 8) 136 _________________________________________________________________ dropout_8 (Dropout) (None, 8) 0 _________________________________________________________________ dense_11 (Dense) (None, 4) 36 _________________________________________________________________ dropout_9 (Dropout) (None, 4) 0 _________________________________________________________________ dense_12 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20447425700151003 acc max: 0.9430769256445077 loss mean : 0.23113739240151182 acc mean: 0.927956926110066
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_13 (Dense) (None, 16) 176 _________________________________________________________________ dropout_10 (Dropout) (None, 16) 0 _________________________________________________________________ dense_14 (Dense) (None, 8) 136 _________________________________________________________________ dropout_11 (Dropout) (None, 8) 0 _________________________________________________________________ dense_15 (Dense) (None, 4) 36 _________________________________________________________________ dropout_12 (Dropout) (None, 4) 0 _________________________________________________________________ dense_16 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2028315162200194 acc max: 0.9369230791238639 loss mean : 0.2664629251673588 acc mean: 0.9248476951512007
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_17 (Dense) (None, 16) 176 _________________________________________________________________ dropout_13 (Dropout) (None, 16) 0 _________________________________________________________________ dense_18 (Dense) (None, 8) 136 _________________________________________________________________ dropout_14 (Dropout) (None, 8) 0 _________________________________________________________________ dense_19 (Dense) (None, 4) 36 _________________________________________________________________ dropout_15 (Dropout) (None, 4) 0 _________________________________________________________________ dense_20 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17846473437089186 acc max: 0.9415384633724506 loss mean : 0.20472576640395018 acc mean: 0.927470771057239
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_21 (Dense) (None, 16) 176 _________________________________________________________________ dropout_16 (Dropout) (None, 16) 0 _________________________________________________________________ dense_22 (Dense) (None, 8) 136 _________________________________________________________________ dropout_17 (Dropout) (None, 8) 0 _________________________________________________________________ dense_23 (Dense) (None, 4) 36 _________________________________________________________________ dropout_18 (Dropout) (None, 4) 0 _________________________________________________________________ dense_24 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1237295138835907 acc max: 0.9600000033011803 loss mean : 0.14227543475893828 acc mean: 0.9504138498522684 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0.1
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_25 (Dense) (None, 16) 176 _________________________________________________________________ dropout_19 (Dropout) (None, 16) 0 _________________________________________________________________ dense_26 (Dense) (None, 8) 136 _________________________________________________________________ dropout_20 (Dropout) (None, 8) 0 _________________________________________________________________ dense_27 (Dense) (None, 4) 36 _________________________________________________________________ dropout_21 (Dropout) (None, 4) 0 _________________________________________________________________ dense_28 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2034718001805819 acc max: 0.944615387916565 loss mean : 0.23564471492134606 acc mean: 0.9326969264527467
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_29 (Dense) (None, 16) 176 _________________________________________________________________ dropout_22 (Dropout) (None, 16) 0 _________________________________________________________________ dense_30 (Dense) (None, 8) 136 _________________________________________________________________ dropout_23 (Dropout) (None, 8) 0 _________________________________________________________________ dense_31 (Dense) (None, 4) 36 _________________________________________________________________ dropout_24 (Dropout) (None, 4) 0 _________________________________________________________________ dense_32 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19064205816158883 acc max: 0.9369230805910551 loss mean : 0.2266168305783547 acc mean: 0.9239676962632399
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_33 (Dense) (None, 16) 176 _________________________________________________________________ dropout_25 (Dropout) (None, 16) 0 _________________________________________________________________ dense_34 (Dense) (None, 8) 136 _________________________________________________________________ dropout_26 (Dropout) (None, 8) 0 _________________________________________________________________ dense_35 (Dense) (None, 8) 72 _________________________________________________________________ dropout_27 (Dropout) (None, 8) 0 _________________________________________________________________ dense_36 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19251589644413727 acc max: 0.947692310993488 loss mean : 0.22978234254646762 acc mean: 0.9342507721171929
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_37 (Dense) (None, 16) 176 _________________________________________________________________ dropout_28 (Dropout) (None, 16) 0 _________________________________________________________________ dense_38 (Dense) (None, 8) 136 _________________________________________________________________ dropout_29 (Dropout) (None, 8) 0 _________________________________________________________________ dense_39 (Dense) (None, 8) 72 _________________________________________________________________ dropout_30 (Dropout) (None, 8) 0 _________________________________________________________________ dense_40 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.134625396499267 acc max: 0.9615384648396419 loss mean : 0.16760075674506333 acc mean: 0.9473430808241551 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 8 ] BatchSize: 512 Dropout: 0
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_41 (Dense) (None, 16) 176 _________________________________________________________________ dropout_31 (Dropout) (None, 16) 0 _________________________________________________________________ dense_42 (Dense) (None, 8) 136 _________________________________________________________________ dropout_32 (Dropout) (None, 8) 0 _________________________________________________________________ dense_43 (Dense) (None, 8) 72 _________________________________________________________________ dropout_33 (Dropout) (None, 8) 0 _________________________________________________________________ dense_44 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17362153314627135 acc max: 0.9476923095262968 loss mean : 0.21527924168419377 acc mean: 0.9369953869755452
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_45 (Dense) (None, 16) 176 _________________________________________________________________ dropout_34 (Dropout) (None, 16) 0 _________________________________________________________________ dense_46 (Dense) (None, 8) 136 _________________________________________________________________ dropout_35 (Dropout) (None, 8) 0 _________________________________________________________________ dense_47 (Dense) (None, 8) 72 _________________________________________________________________ dropout_36 (Dropout) (None, 8) 0 _________________________________________________________________ dense_48 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2076436630120644 acc max: 0.9446153875497671 loss mean : 0.2923715768974561 acc mean: 0.9293753878144118
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_49 (Dense) (None, 16) 176 _________________________________________________________________ dropout_37 (Dropout) (None, 16) 0 _________________________________________________________________ dense_50 (Dense) (None, 8) 136 _________________________________________________________________ dropout_38 (Dropout) (None, 8) 0 _________________________________________________________________ dense_51 (Dense) (None, 8) 72 _________________________________________________________________ dropout_39 (Dropout) (None, 8) 0 _________________________________________________________________ dense_52 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1640110077078526 acc max: 0.9461538479878352 loss mean : 0.19046669045411624 acc mean: 0.9337815405593469
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_53 (Dense) (None, 16) 176 _________________________________________________________________ dropout_40 (Dropout) (None, 16) 0 _________________________________________________________________ dense_54 (Dense) (None, 8) 136 _________________________________________________________________ dropout_41 (Dropout) (None, 8) 0 _________________________________________________________________ dense_55 (Dense) (None, 8) 72 _________________________________________________________________ dropout_42 (Dropout) (None, 8) 0 _________________________________________________________________ dense_56 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11674583485493294 acc max: 0.9584615421295166 loss mean : 0.1388667567034868 acc mean: 0.9515661577244904
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_57 (Dense) (None, 16) 176 _________________________________________________________________ dropout_43 (Dropout) (None, 16) 0 _________________________________________________________________ dense_58 (Dense) (None, 8) 136 _________________________________________________________________ dropout_44 (Dropout) (None, 8) 0 _________________________________________________________________ dense_59 (Dense) (None, 8) 72 _________________________________________________________________ dropout_45 (Dropout) (None, 8) 0 _________________________________________________________________ dense_60 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18689822394114275 acc max: 0.9492307714315561 loss mean : 0.20856568342892023 acc mean: 0.938072310331418
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_61 (Dense) (None, 16) 176 _________________________________________________________________ dropout_46 (Dropout) (None, 16) 0 _________________________________________________________________ dense_62 (Dense) (None, 8) 136 _________________________________________________________________ dropout_47 (Dropout) (None, 8) 0 _________________________________________________________________ dense_63 (Dense) (None, 8) 72 _________________________________________________________________ dropout_48 (Dropout) (None, 8) 0 _________________________________________________________________ dense_64 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18017049340101388 acc max: 0.9353846190525935 loss mean : 0.20963828396081924 acc mean: 0.9268800037971827
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_65 (Dense) (None, 16) 176 _________________________________________________________________ dropout_49 (Dropout) (None, 16) 0 _________________________________________________________________ dense_66 (Dense) (None, 8) 136 _________________________________________________________________ dropout_50 (Dropout) (None, 8) 0 _________________________________________________________________ dense_67 (Dense) (None, 16) 144 _________________________________________________________________ dropout_51 (Dropout) (None, 16) 0 _________________________________________________________________ dense_68 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17647411064459728 acc max: 0.9446153871829693 loss mean : 0.2347549800965878 acc mean: 0.9370369256661489
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_69 (Dense) (None, 16) 176 _________________________________________________________________ dropout_52 (Dropout) (None, 16) 0 _________________________________________________________________ dense_70 (Dense) (None, 8) 136 _________________________________________________________________ dropout_53 (Dropout) (None, 8) 0 _________________________________________________________________ dense_71 (Dense) (None, 16) 144 _________________________________________________________________ dropout_54 (Dropout) (None, 16) 0 _________________________________________________________________ dense_72 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12091633425309108 acc max: 0.966153848354633 loss mean : 0.14484241406326112 acc mean: 0.948340003519425 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_73 (Dense) (None, 16) 176 _________________________________________________________________ dropout_55 (Dropout) (None, 16) 0 _________________________________________________________________ dense_74 (Dense) (None, 8) 136 _________________________________________________________________ dropout_56 (Dropout) (None, 8) 0 _________________________________________________________________ dense_75 (Dense) (None, 16) 144 _________________________________________________________________ dropout_57 (Dropout) (None, 16) 0 _________________________________________________________________ dense_76 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18592684970452236 acc max: 0.9461538487214308 loss mean : 0.20922303653373167 acc mean: 0.9348907719696485
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_77 (Dense) (None, 16) 176 _________________________________________________________________ dropout_58 (Dropout) (None, 16) 0 _________________________________________________________________ dense_78 (Dense) (None, 8) 136 _________________________________________________________________ dropout_59 (Dropout) (None, 8) 0 _________________________________________________________________ dense_79 (Dense) (None, 16) 144 _________________________________________________________________ dropout_60 (Dropout) (None, 16) 0 _________________________________________________________________ dense_80 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19882963281411392 acc max: 0.9369230805910551 loss mean : 0.3350068520992995 acc mean: 0.9226707729112186
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_81 (Dense) (None, 16) 176 _________________________________________________________________ dropout_61 (Dropout) (None, 16) 0 _________________________________________________________________ dense_82 (Dense) (None, 8) 136 _________________________________________________________________ dropout_62 (Dropout) (None, 8) 0 _________________________________________________________________ dense_83 (Dense) (None, 16) 144 _________________________________________________________________ dropout_63 (Dropout) (None, 16) 0 _________________________________________________________________ dense_84 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16346251347890267 acc max: 0.9400000029343825 loss mean : 0.18135690128500645 acc mean: 0.9319553869669254
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_85 (Dense) (None, 16) 176 _________________________________________________________________ dropout_64 (Dropout) (None, 16) 0 _________________________________________________________________ dense_86 (Dense) (None, 8) 136 _________________________________________________________________ dropout_65 (Dropout) (None, 8) 0 _________________________________________________________________ dense_87 (Dense) (None, 16) 144 _________________________________________________________________ dropout_66 (Dropout) (None, 16) 0 _________________________________________________________________ dense_88 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12495385830218976 acc max: 0.9661538487214308 loss mean : 0.1412881802415389 acc mean: 0.956598464812132 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0.1
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_89 (Dense) (None, 16) 176 _________________________________________________________________ dropout_67 (Dropout) (None, 16) 0 _________________________________________________________________ dense_90 (Dense) (None, 8) 136 _________________________________________________________________ dropout_68 (Dropout) (None, 8) 0 _________________________________________________________________ dense_91 (Dense) (None, 16) 144 _________________________________________________________________ dropout_69 (Dropout) (None, 16) 0 _________________________________________________________________ dense_92 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1745072978276473 acc max: 0.9446153875497671 loss mean : 0.198516046332396 acc mean: 0.9364784646942983
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_93 (Dense) (None, 16) 176 _________________________________________________________________ dropout_70 (Dropout) (None, 16) 0 _________________________________________________________________ dense_94 (Dense) (None, 8) 136 _________________________________________________________________ dropout_71 (Dropout) (None, 8) 0 _________________________________________________________________ dense_95 (Dense) (None, 16) 144 _________________________________________________________________ dropout_72 (Dropout) (None, 16) 0 _________________________________________________________________ dense_96 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17923873892197242 acc max: 0.9369230805910551 loss mean : 0.20577251076982575 acc mean: 0.9280600036749475
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_97 (Dense) (None, 16) 176 _________________________________________________________________ dropout_73 (Dropout) (None, 16) 0 _________________________________________________________________ dense_98 (Dense) (None, 16) 272 _________________________________________________________________ dropout_74 (Dropout) (None, 16) 0 _________________________________________________________________ dense_99 (Dense) (None, 4) 68 _________________________________________________________________ dropout_75 (Dropout) (None, 4) 0 _________________________________________________________________ dense_100 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18102261598293598 acc max: 0.947692309159499 loss mean : 0.21842104482602617 acc mean: 0.9358107712730995
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_101 (Dense) (None, 16) 176 _________________________________________________________________ dropout_76 (Dropout) (None, 16) 0 _________________________________________________________________ dense_102 (Dense) (None, 16) 272 _________________________________________________________________ dropout_77 (Dropout) (None, 16) 0 _________________________________________________________________ dense_103 (Dense) (None, 4) 68 _________________________________________________________________ dropout_78 (Dropout) (None, 4) 0 _________________________________________________________________ dense_104 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.10207339438108297 acc max: 0.9692307717983539 loss mean : 0.12486038624529655 acc mean: 0.9593276952879246 model save!!! Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 4 ] BatchSize: 512 Dropout: 0
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_105 (Dense) (None, 16) 176 _________________________________________________________________ dropout_79 (Dropout) (None, 16) 0 _________________________________________________________________ dense_106 (Dense) (None, 16) 272 _________________________________________________________________ dropout_80 (Dropout) (None, 16) 0 _________________________________________________________________ dense_107 (Dense) (None, 4) 68 _________________________________________________________________ dropout_81 (Dropout) (None, 4) 0 _________________________________________________________________ dense_108 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1796139926635302 acc max: 0.9430769260113055 loss mean : 0.22980217661463298 acc mean: 0.9352769260608234
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_109 (Dense) (None, 16) 176 _________________________________________________________________ dropout_82 (Dropout) (None, 16) 0 _________________________________________________________________ dense_110 (Dense) (None, 16) 272 _________________________________________________________________ dropout_83 (Dropout) (None, 16) 0 _________________________________________________________________ dense_111 (Dense) (None, 4) 68 _________________________________________________________________ dropout_84 (Dropout) (None, 4) 0 _________________________________________________________________ dense_112 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.22106202538196856 acc max: 0.932307696709266 loss mean : 0.3255904082926878 acc mean: 0.9198246196262653
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_113 (Dense) (None, 16) 176 _________________________________________________________________ dropout_85 (Dropout) (None, 16) 0 _________________________________________________________________ dense_114 (Dense) (None, 16) 272 _________________________________________________________________ dropout_86 (Dropout) (None, 16) 0 _________________________________________________________________ dense_115 (Dense) (None, 4) 68 _________________________________________________________________ dropout_87 (Dropout) (None, 4) 0 _________________________________________________________________ dense_116 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1639374848971 acc max: 0.9415384633724506 loss mean : 0.183352348294602 acc mean: 0.9330123096999755
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_117 (Dense) (None, 16) 176 _________________________________________________________________ dropout_88 (Dropout) (None, 16) 0 _________________________________________________________________ dense_118 (Dense) (None, 16) 272 _________________________________________________________________ dropout_89 (Dropout) (None, 16) 0 _________________________________________________________________ dense_119 (Dense) (None, 4) 68 _________________________________________________________________ dropout_90 (Dropout) (None, 4) 0 _________________________________________________________________ dense_120 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1224318005488469 acc max: 0.9584615417627188 loss mean : 0.1338387761635047 acc mean: 0.949573850165147
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_121 (Dense) (None, 16) 176 _________________________________________________________________ dropout_91 (Dropout) (None, 16) 0 _________________________________________________________________ dense_122 (Dense) (None, 16) 272 _________________________________________________________________ dropout_92 (Dropout) (None, 16) 0 _________________________________________________________________ dense_123 (Dense) (None, 4) 68 _________________________________________________________________ dropout_93 (Dropout) (None, 4) 0 _________________________________________________________________ dense_124 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18791979523805472 acc max: 0.9446153875497671 loss mean : 0.20885862945538297 acc mean: 0.9308507722839943
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_125 (Dense) (None, 16) 176 _________________________________________________________________ dropout_94 (Dropout) (None, 16) 0 _________________________________________________________________ dense_126 (Dense) (None, 16) 272 _________________________________________________________________ dropout_95 (Dropout) (None, 16) 0 _________________________________________________________________ dense_127 (Dense) (None, 4) 68 _________________________________________________________________ dropout_96 (Dropout) (None, 4) 0 _________________________________________________________________ dense_128 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19255262241913723 acc max: 0.9338461567805364 loss mean : 0.21341288177852447 acc mean: 0.9221846193863795
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_129 (Dense) (None, 16) 176 _________________________________________________________________ dropout_97 (Dropout) (None, 16) 0 _________________________________________________________________ dense_130 (Dense) (None, 16) 272 _________________________________________________________________ dropout_98 (Dropout) (None, 16) 0 _________________________________________________________________ dense_131 (Dense) (None, 8) 136 _________________________________________________________________ dropout_99 (Dropout) (None, 8) 0 _________________________________________________________________ dense_132 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19539367723923462 acc max: 0.9415384641060462 loss mean : 0.2592516415437139 acc mean: 0.9321861567480748
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_133 (Dense) (None, 16) 176 _________________________________________________________________ dropout_100 (Dropout) (None, 16) 0 _________________________________________________________________ dense_134 (Dense) (None, 16) 272 _________________________________________________________________ dropout_101 (Dropout) (None, 16) 0 _________________________________________________________________ dense_135 (Dense) (None, 8) 136 _________________________________________________________________ dropout_102 (Dropout) (None, 8) 0 _________________________________________________________________ dense_136 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12360723417538863 acc max: 0.9615384641060463 loss mean : 0.17385731965459308 acc mean: 0.9519876957420202
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_137 (Dense) (None, 16) 176 _________________________________________________________________ dropout_103 (Dropout) (None, 16) 0 _________________________________________________________________ dense_138 (Dense) (None, 16) 272 _________________________________________________________________ dropout_104 (Dropout) (None, 16) 0 _________________________________________________________________ dense_139 (Dense) (None, 8) 136 _________________________________________________________________ dropout_105 (Dropout) (None, 8) 0 _________________________________________________________________ dense_140 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1942888650527367 acc max: 0.9415384641060462 loss mean : 0.22020836599482943 acc mean: 0.933221541361442
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_141 (Dense) (None, 16) 176 _________________________________________________________________ dropout_106 (Dropout) (None, 16) 0 _________________________________________________________________ dense_142 (Dense) (None, 16) 272 _________________________________________________________________ dropout_107 (Dropout) (None, 16) 0 _________________________________________________________________ dense_143 (Dense) (None, 8) 136 _________________________________________________________________ dropout_108 (Dropout) (None, 8) 0 _________________________________________________________________ dense_144 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21334406233750858 acc max: 0.9369230802242573 loss mean : 0.34518516150474543 acc mean: 0.9260676960303235
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_145 (Dense) (None, 16) 176 _________________________________________________________________ dropout_109 (Dropout) (None, 16) 0 _________________________________________________________________ dense_146 (Dense) (None, 16) 272 _________________________________________________________________ dropout_110 (Dropout) (None, 16) 0 _________________________________________________________________ dense_147 (Dense) (None, 8) 136 _________________________________________________________________ dropout_111 (Dropout) (None, 8) 0 _________________________________________________________________ dense_148 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1682476950608767 acc max: 0.9446153864493737 loss mean : 0.18579850338257275 acc mean: 0.934933848362886
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_149 (Dense) (None, 16) 176 _________________________________________________________________ dropout_112 (Dropout) (None, 16) 0 _________________________________________________________________ dense_150 (Dense) (None, 16) 272 _________________________________________________________________ dropout_113 (Dropout) (None, 16) 0 _________________________________________________________________ dense_151 (Dense) (None, 8) 136 _________________________________________________________________ dropout_114 (Dropout) (None, 8) 0 _________________________________________________________________ dense_152 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.10949466618207784 acc max: 0.9630769256445078 loss mean : 0.1270423998022538 acc mean: 0.9539769265803923
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_153 (Dense) (None, 16) 176 _________________________________________________________________ dropout_115 (Dropout) (None, 16) 0 _________________________________________________________________ dense_154 (Dense) (None, 16) 272 _________________________________________________________________ dropout_116 (Dropout) (None, 16) 0 _________________________________________________________________ dense_155 (Dense) (None, 8) 136 _________________________________________________________________ dropout_117 (Dropout) (None, 8) 0 _________________________________________________________________ dense_156 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18873194015943087 acc max: 0.9476923098930946 loss mean : 0.20720052296322125 acc mean: 0.9372907719986255
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_157 (Dense) (None, 16) 176 _________________________________________________________________ dropout_118 (Dropout) (None, 16) 0 _________________________________________________________________ dense_158 (Dense) (None, 16) 272 _________________________________________________________________ dropout_119 (Dropout) (None, 16) 0 _________________________________________________________________ dense_159 (Dense) (None, 8) 136 _________________________________________________________________ dropout_120 (Dropout) (None, 8) 0 _________________________________________________________________ dense_160 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19922183545736166 acc max: 0.933846157514132 loss mean : 0.22911871890897934 acc mean: 0.9254523110688649
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_161 (Dense) (None, 16) 176 _________________________________________________________________ dropout_121 (Dropout) (None, 16) 0 _________________________________________________________________ dense_162 (Dense) (None, 16) 272 _________________________________________________________________ dropout_122 (Dropout) (None, 16) 0 _________________________________________________________________ dense_163 (Dense) (None, 16) 272 _________________________________________________________________ dropout_123 (Dropout) (None, 16) 0 _________________________________________________________________ dense_164 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19712993312340515 acc max: 0.946153848354633 loss mean : 0.2328930612447858 acc mean: 0.9342553870865015
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_165 (Dense) (None, 16) 176 _________________________________________________________________ dropout_124 (Dropout) (None, 16) 0 _________________________________________________________________ dense_166 (Dense) (None, 16) 272 _________________________________________________________________ dropout_125 (Dropout) (None, 16) 0 _________________________________________________________________ dense_167 (Dense) (None, 16) 272 _________________________________________________________________ dropout_126 (Dropout) (None, 16) 0 _________________________________________________________________ dense_168 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.125888008246055 acc max: 0.9630769263781034 loss mean : 0.1685646883035623 acc mean: 0.9498307726076932
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_169 (Dense) (None, 16) 176 _________________________________________________________________ dropout_127 (Dropout) (None, 16) 0 _________________________________________________________________ dense_170 (Dense) (None, 16) 272 _________________________________________________________________ dropout_128 (Dropout) (None, 16) 0 _________________________________________________________________ dense_171 (Dense) (None, 16) 272 _________________________________________________________________ dropout_129 (Dropout) (None, 16) 0 _________________________________________________________________ dense_172 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1726837382866786 acc max: 0.9446153860825759 loss mean : 0.24044064222500874 acc mean: 0.9324584642700049
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_173 (Dense) (None, 16) 176 _________________________________________________________________ dropout_130 (Dropout) (None, 16) 0 _________________________________________________________________ dense_174 (Dense) (None, 16) 272 _________________________________________________________________ dropout_131 (Dropout) (None, 16) 0 _________________________________________________________________ dense_175 (Dense) (None, 16) 272 _________________________________________________________________ dropout_132 (Dropout) (None, 16) 0 _________________________________________________________________ dense_176 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2090179165510031 acc max: 0.9369230805910551 loss mean : 0.36391461251754026 acc mean: 0.9252046190674489
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_177 (Dense) (None, 16) 176 _________________________________________________________________ dropout_133 (Dropout) (None, 16) 0 _________________________________________________________________ dense_178 (Dense) (None, 16) 272 _________________________________________________________________ dropout_134 (Dropout) (None, 16) 0 _________________________________________________________________ dense_179 (Dense) (None, 16) 272 _________________________________________________________________ dropout_135 (Dropout) (None, 16) 0 _________________________________________________________________ dense_180 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16084605813026429 acc max: 0.9492307714315561 loss mean : 0.17868503225285276 acc mean: 0.939715386782793
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_181 (Dense) (None, 16) 176 _________________________________________________________________ dropout_136 (Dropout) (None, 16) 0 _________________________________________________________________ dense_182 (Dense) (None, 16) 272 _________________________________________________________________ dropout_137 (Dropout) (None, 16) 0 _________________________________________________________________ dense_183 (Dense) (None, 16) 272 _________________________________________________________________ dropout_138 (Dropout) (None, 16) 0 _________________________________________________________________ dense_184 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.10445321798324585 acc max: 0.966153848354633 loss mean : 0.11996016675696923 acc mean: 0.9601000024243501
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_185 (Dense) (None, 16) 176 _________________________________________________________________ dropout_139 (Dropout) (None, 16) 0 _________________________________________________________________ dense_186 (Dense) (None, 16) 272 _________________________________________________________________ dropout_140 (Dropout) (None, 16) 0 _________________________________________________________________ dense_187 (Dense) (None, 16) 272 _________________________________________________________________ dropout_141 (Dropout) (None, 16) 0 _________________________________________________________________ dense_188 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16763261130222906 acc max: 0.9507692326032199 loss mean : 0.18395137191552383 acc mean: 0.9408430795209224
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_189 (Dense) (None, 16) 176 _________________________________________________________________ dropout_142 (Dropout) (None, 16) 0 _________________________________________________________________ dense_190 (Dense) (None, 16) 272 _________________________________________________________________ dropout_143 (Dropout) (None, 16) 0 _________________________________________________________________ dense_191 (Dense) (None, 16) 272 _________________________________________________________________ dropout_144 (Dropout) (None, 16) 0 _________________________________________________________________ dense_192 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21049421016986553 acc max: 0.9415384648396419 loss mean : 0.22907568566033473 acc mean: 0.9295323112832583
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_193 (Dense) (None, 32) 352 _________________________________________________________________ dropout_145 (Dropout) (None, 32) 0 _________________________________________________________________ dense_194 (Dense) (None, 8) 264 _________________________________________________________________ dropout_146 (Dropout) (None, 8) 0 _________________________________________________________________ dense_195 (Dense) (None, 4) 36 _________________________________________________________________ dropout_147 (Dropout) (None, 4) 0 _________________________________________________________________ dense_196 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2015249634706057 acc max: 0.9384615417627188 loss mean : 0.2919740748841029 acc mean: 0.9296000032014113
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_197 (Dense) (None, 32) 352 _________________________________________________________________ dropout_148 (Dropout) (None, 32) 0 _________________________________________________________________ dense_198 (Dense) (None, 8) 264 _________________________________________________________________ dropout_149 (Dropout) (None, 8) 0 _________________________________________________________________ dense_199 (Dense) (None, 4) 36 _________________________________________________________________ dropout_150 (Dropout) (None, 4) 0 _________________________________________________________________ dense_200 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12006371213839605 acc max: 0.9676923102598924 loss mean : 0.15148944501367903 acc mean: 0.9505092335783519
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_201 (Dense) (None, 32) 352 _________________________________________________________________ dropout_151 (Dropout) (None, 32) 0 _________________________________________________________________ dense_202 (Dense) (None, 8) 264 _________________________________________________________________ dropout_152 (Dropout) (None, 8) 0 _________________________________________________________________ dense_203 (Dense) (None, 4) 36 _________________________________________________________________ dropout_153 (Dropout) (None, 4) 0 _________________________________________________________________ dense_204 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1842444038620362 acc max: 0.9492307714315561 loss mean : 0.2323709182038903 acc mean: 0.9342707723341538
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_205 (Dense) (None, 32) 352 _________________________________________________________________ dropout_154 (Dropout) (None, 32) 0 _________________________________________________________________ dense_206 (Dense) (None, 8) 264 _________________________________________________________________ dropout_155 (Dropout) (None, 8) 0 _________________________________________________________________ dense_207 (Dense) (None, 4) 36 _________________________________________________________________ dropout_156 (Dropout) (None, 4) 0 _________________________________________________________________ dense_208 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.23945868648015536 acc max: 0.9338461567805364 loss mean : 0.37913033134093654 acc mean: 0.9213523115052628
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_209 (Dense) (None, 32) 352 _________________________________________________________________ dropout_157 (Dropout) (None, 32) 0 _________________________________________________________________ dense_210 (Dense) (None, 8) 264 _________________________________________________________________ dropout_158 (Dropout) (None, 8) 0 _________________________________________________________________ dense_211 (Dense) (None, 4) 36 _________________________________________________________________ dropout_159 (Dropout) (None, 4) 0 _________________________________________________________________ dense_212 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17926080093933985 acc max: 0.9538461549465473 loss mean : 0.2408410319121526 acc mean: 0.9384723093176806
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_213 (Dense) (None, 32) 352 _________________________________________________________________ dropout_160 (Dropout) (None, 32) 0 _________________________________________________________________ dense_214 (Dense) (None, 8) 264 _________________________________________________________________ dropout_161 (Dropout) (None, 8) 0 _________________________________________________________________ dense_215 (Dense) (None, 4) 36 _________________________________________________________________ dropout_162 (Dropout) (None, 4) 0 _________________________________________________________________ dense_216 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12301834606207335 acc max: 0.958461541395921 loss mean : 0.14298983566462994 acc mean: 0.9431646191314551
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_217 (Dense) (None, 32) 352 _________________________________________________________________ dropout_163 (Dropout) (None, 32) 0 _________________________________________________________________ dense_218 (Dense) (None, 8) 264 _________________________________________________________________ dropout_164 (Dropout) (None, 8) 0 _________________________________________________________________ dense_219 (Dense) (None, 4) 36 _________________________________________________________________ dropout_165 (Dropout) (None, 4) 0 _________________________________________________________________ dense_220 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1696306834771083 acc max: 0.9492307710647583 loss mean : 0.19227154849359623 acc mean: 0.9364907718194448
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_221 (Dense) (None, 32) 352 _________________________________________________________________ dropout_166 (Dropout) (None, 32) 0 _________________________________________________________________ dense_222 (Dense) (None, 8) 264 _________________________________________________________________ dropout_167 (Dropout) (None, 8) 0 _________________________________________________________________ dense_223 (Dense) (None, 4) 36 _________________________________________________________________ dropout_168 (Dropout) (None, 4) 0 _________________________________________________________________ dense_224 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20266115161088796 acc max: 0.9369230798574595 loss mean : 0.22982503591111073 acc mean: 0.9268507730031014
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_225 (Dense) (None, 32) 352 _________________________________________________________________ dropout_169 (Dropout) (None, 32) 0 _________________________________________________________________ dense_226 (Dense) (None, 8) 264 _________________________________________________________________ dropout_170 (Dropout) (None, 8) 0 _________________________________________________________________ dense_227 (Dense) (None, 8) 72 _________________________________________________________________ dropout_171 (Dropout) (None, 8) 0 _________________________________________________________________ dense_228 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17326447422687824 acc max: 0.9507692337036133 loss mean : 0.24820489940725837 acc mean: 0.9377461565769637
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_229 (Dense) (None, 32) 352 _________________________________________________________________ dropout_172 (Dropout) (None, 32) 0 _________________________________________________________________ dense_230 (Dense) (None, 8) 264 _________________________________________________________________ dropout_173 (Dropout) (None, 8) 0 _________________________________________________________________ dense_231 (Dense) (None, 8) 72 _________________________________________________________________ dropout_174 (Dropout) (None, 8) 0 _________________________________________________________________ dense_232 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.129067485836836 acc max: 0.9584615421295166 loss mean : 0.18919704508588864 acc mean: 0.9451907728072313
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_233 (Dense) (None, 32) 352 _________________________________________________________________ dropout_175 (Dropout) (None, 32) 0 _________________________________________________________________ dense_234 (Dense) (None, 8) 264 _________________________________________________________________ dropout_176 (Dropout) (None, 8) 0 _________________________________________________________________ dense_235 (Dense) (None, 8) 72 _________________________________________________________________ dropout_177 (Dropout) (None, 8) 0 _________________________________________________________________ dense_236 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18464286946333372 acc max: 0.9446153868161715 loss mean : 0.2545336920150885 acc mean: 0.9312830799154135
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_237 (Dense) (None, 32) 352 _________________________________________________________________ dropout_178 (Dropout) (None, 32) 0 _________________________________________________________________ dense_238 (Dense) (None, 8) 264 _________________________________________________________________ dropout_179 (Dropout) (None, 8) 0 _________________________________________________________________ dense_239 (Dense) (None, 8) 72 _________________________________________________________________ dropout_180 (Dropout) (None, 8) 0 _________________________________________________________________ dense_240 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21502347730673277 acc max: 0.9369230798574595 loss mean : 0.3751960111489662 acc mean: 0.9250707727177325
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_241 (Dense) (None, 32) 352 _________________________________________________________________ dropout_181 (Dropout) (None, 32) 0 _________________________________________________________________ dense_242 (Dense) (None, 8) 264 _________________________________________________________________ dropout_182 (Dropout) (None, 8) 0 _________________________________________________________________ dense_243 (Dense) (None, 8) 72 _________________________________________________________________ dropout_183 (Dropout) (None, 8) 0 _________________________________________________________________ dense_244 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16326563871823824 acc max: 0.9492307717983539 loss mean : 0.18630559567382704 acc mean: 0.9400461562508804
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_245 (Dense) (None, 32) 352 _________________________________________________________________ dropout_184 (Dropout) (None, 32) 0 _________________________________________________________________ dense_246 (Dense) (None, 8) 264 _________________________________________________________________ dropout_185 (Dropout) (None, 8) 0 _________________________________________________________________ dense_247 (Dense) (None, 8) 72 _________________________________________________________________ dropout_186 (Dropout) (None, 8) 0 _________________________________________________________________ dense_248 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12047008688633258 acc max: 0.9661538487214308 loss mean : 0.13794047272145749 acc mean: 0.9558153878867627
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_249 (Dense) (None, 32) 352 _________________________________________________________________ dropout_187 (Dropout) (None, 32) 0 _________________________________________________________________ dense_250 (Dense) (None, 8) 264 _________________________________________________________________ dropout_188 (Dropout) (None, 8) 0 _________________________________________________________________ dense_251 (Dense) (None, 8) 72 _________________________________________________________________ dropout_189 (Dropout) (None, 8) 0 _________________________________________________________________ dense_252 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18119090410379263 acc max: 0.9430769260113055 loss mean : 0.20425994783082835 acc mean: 0.9333630800769879
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_253 (Dense) (None, 32) 352 _________________________________________________________________ dropout_190 (Dropout) (None, 32) 0 _________________________________________________________________ dense_254 (Dense) (None, 8) 264 _________________________________________________________________ dropout_191 (Dropout) (None, 8) 0 _________________________________________________________________ dense_255 (Dense) (None, 8) 72 _________________________________________________________________ dropout_192 (Dropout) (None, 8) 0 _________________________________________________________________ dense_256 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19767134061226477 acc max: 0.9353846194193913 loss mean : 0.23309424321316757 acc mean: 0.9233723114015505
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_257 (Dense) (None, 32) 352 _________________________________________________________________ dropout_193 (Dropout) (None, 32) 0 _________________________________________________________________ dense_258 (Dense) (None, 8) 264 _________________________________________________________________ dropout_194 (Dropout) (None, 8) 0 _________________________________________________________________ dense_259 (Dense) (None, 16) 144 _________________________________________________________________ dropout_195 (Dropout) (None, 16) 0 _________________________________________________________________ dense_260 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17979302557615134 acc max: 0.946153848354633 loss mean : 0.2579244802290201 acc mean: 0.9350430794523313
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_261 (Dense) (None, 32) 352 _________________________________________________________________ dropout_196 (Dropout) (None, 32) 0 _________________________________________________________________ dense_262 (Dense) (None, 8) 264 _________________________________________________________________ dropout_197 (Dropout) (None, 8) 0 _________________________________________________________________ dense_263 (Dense) (None, 16) 144 _________________________________________________________________ dropout_198 (Dropout) (None, 16) 0 _________________________________________________________________ dense_264 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11616228222846985 acc max: 0.9661538490882287 loss mean : 0.1571851528207614 acc mean: 0.9560400030594606
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_265 (Dense) (None, 32) 352 _________________________________________________________________ dropout_199 (Dropout) (None, 32) 0 _________________________________________________________________ dense_266 (Dense) (None, 8) 264 _________________________________________________________________ dropout_200 (Dropout) (None, 8) 0 _________________________________________________________________ dense_267 (Dense) (None, 16) 144 _________________________________________________________________ dropout_201 (Dropout) (None, 16) 0 _________________________________________________________________ dense_268 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17913747406922853 acc max: 0.9476923098930946 loss mean : 0.23558611569496302 acc mean: 0.9311123107017004
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_269 (Dense) (None, 32) 352 _________________________________________________________________ dropout_202 (Dropout) (None, 32) 0 _________________________________________________________________ dense_270 (Dense) (None, 8) 264 _________________________________________________________________ dropout_203 (Dropout) (None, 8) 0 _________________________________________________________________ dense_271 (Dense) (None, 16) 144 _________________________________________________________________ dropout_204 (Dropout) (None, 16) 0 _________________________________________________________________ dense_272 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2139831412755526 acc max: 0.9307692340704111 loss mean : 0.36755993308938467 acc mean: 0.918752311817316
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_273 (Dense) (None, 32) 352 _________________________________________________________________ dropout_205 (Dropout) (None, 32) 0 _________________________________________________________________ dense_274 (Dense) (None, 8) 264 _________________________________________________________________ dropout_206 (Dropout) (None, 8) 0 _________________________________________________________________ dense_275 (Dense) (None, 16) 144 _________________________________________________________________ dropout_207 (Dropout) (None, 16) 0 _________________________________________________________________ dense_276 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17557150040681546 acc max: 0.9507692329700177 loss mean : 0.1921985799004023 acc mean: 0.9412169256644983
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_277 (Dense) (None, 32) 352 _________________________________________________________________ dropout_208 (Dropout) (None, 32) 0 _________________________________________________________________ dense_278 (Dense) (None, 8) 264 _________________________________________________________________ dropout_209 (Dropout) (None, 8) 0 _________________________________________________________________ dense_279 (Dense) (None, 16) 144 _________________________________________________________________ dropout_210 (Dropout) (None, 16) 0 _________________________________________________________________ dense_280 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11771807867747086 acc max: 0.9661538494550265 loss mean : 0.1276264897536773 acc mean: 0.9575015416451599
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_281 (Dense) (None, 32) 352 _________________________________________________________________ dropout_211 (Dropout) (None, 32) 0 _________________________________________________________________ dense_282 (Dense) (None, 8) 264 _________________________________________________________________ dropout_212 (Dropout) (None, 8) 0 _________________________________________________________________ dense_283 (Dense) (None, 16) 144 _________________________________________________________________ dropout_213 (Dropout) (None, 16) 0 _________________________________________________________________ dense_284 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1782577004340979 acc max: 0.9446153875497671 loss mean : 0.198513956437386 acc mean: 0.9373384644933848
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_285 (Dense) (None, 32) 352 _________________________________________________________________ dropout_214 (Dropout) (None, 32) 0 _________________________________________________________________ dense_286 (Dense) (None, 8) 264 _________________________________________________________________ dropout_215 (Dropout) (None, 8) 0 _________________________________________________________________ dense_287 (Dense) (None, 16) 144 _________________________________________________________________ dropout_216 (Dropout) (None, 16) 0 _________________________________________________________________ dense_288 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20646423536997574 acc max: 0.9400000033011803 loss mean : 0.23165508656116635 acc mean: 0.929984618704319
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_289 (Dense) (None, 32) 352 _________________________________________________________________ dropout_217 (Dropout) (None, 32) 0 _________________________________________________________________ dense_290 (Dense) (None, 16) 528 _________________________________________________________________ dropout_218 (Dropout) (None, 16) 0 _________________________________________________________________ dense_291 (Dense) (None, 4) 68 _________________________________________________________________ dropout_219 (Dropout) (None, 4) 0 _________________________________________________________________ dense_292 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18895488642729247 acc max: 0.9492307717983539 loss mean : 0.275049119689052 acc mean: 0.9414969254618425
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_293 (Dense) (None, 32) 352 _________________________________________________________________ dropout_220 (Dropout) (None, 32) 0 _________________________________________________________________ dense_294 (Dense) (None, 16) 528 _________________________________________________________________ dropout_221 (Dropout) (None, 16) 0 _________________________________________________________________ dense_295 (Dense) (None, 4) 68 _________________________________________________________________ dropout_222 (Dropout) (None, 4) 0 _________________________________________________________________ dense_296 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11838051314537341 acc max: 0.9661538487214308 loss mean : 0.17244474671918614 acc mean: 0.953932310752135
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_297 (Dense) (None, 32) 352 _________________________________________________________________ dropout_223 (Dropout) (None, 32) 0 _________________________________________________________________ dense_298 (Dense) (None, 16) 528 _________________________________________________________________ dropout_224 (Dropout) (None, 16) 0 _________________________________________________________________ dense_299 (Dense) (None, 4) 68 _________________________________________________________________ dropout_225 (Dropout) (None, 4) 0 _________________________________________________________________ dense_300 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17739797266630025 acc max: 0.9476923098930946 loss mean : 0.24905872517388603 acc mean: 0.9349507719252661
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_301 (Dense) (None, 32) 352 _________________________________________________________________ dropout_226 (Dropout) (None, 32) 0 _________________________________________________________________ dense_302 (Dense) (None, 16) 528 _________________________________________________________________ dropout_227 (Dropout) (None, 16) 0 _________________________________________________________________ dense_303 (Dense) (None, 4) 68 _________________________________________________________________ dropout_228 (Dropout) (None, 4) 0 _________________________________________________________________ dense_304 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18323105770808 acc max: 0.9400000036679781 loss mean : 0.3225476699664042 acc mean: 0.9254584658771294
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_305 (Dense) (None, 32) 352 _________________________________________________________________ dropout_229 (Dropout) (None, 32) 0 _________________________________________________________________ dense_306 (Dense) (None, 16) 528 _________________________________________________________________ dropout_230 (Dropout) (None, 16) 0 _________________________________________________________________ dense_307 (Dense) (None, 4) 68 _________________________________________________________________ dropout_231 (Dropout) (None, 4) 0 _________________________________________________________________ dense_308 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17443044245243072 acc max: 0.9476923098930946 loss mean : 0.19615328708382754 acc mean: 0.9379292330362248
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_309 (Dense) (None, 32) 352 _________________________________________________________________ dropout_232 (Dropout) (None, 32) 0 _________________________________________________________________ dense_310 (Dense) (None, 16) 528 _________________________________________________________________ dropout_233 (Dropout) (None, 16) 0 _________________________________________________________________ dense_311 (Dense) (None, 4) 68 _________________________________________________________________ dropout_234 (Dropout) (None, 4) 0 _________________________________________________________________ dense_312 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12027068614959717 acc max: 0.9676923087927012 loss mean : 0.13691377965468626 acc mean: 0.9578338490403616
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_313 (Dense) (None, 32) 352 _________________________________________________________________ dropout_235 (Dropout) (None, 32) 0 _________________________________________________________________ dense_314 (Dense) (None, 16) 528 _________________________________________________________________ dropout_236 (Dropout) (None, 16) 0 _________________________________________________________________ dense_315 (Dense) (None, 4) 68 _________________________________________________________________ dropout_237 (Dropout) (None, 4) 0 _________________________________________________________________ dense_316 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17542691327058352 acc max: 0.9538461553133452 loss mean : 0.2006805740732642 acc mean: 0.9426984637366809
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_317 (Dense) (None, 32) 352 _________________________________________________________________ dropout_238 (Dropout) (None, 32) 0 _________________________________________________________________ dense_318 (Dense) (None, 16) 528 _________________________________________________________________ dropout_239 (Dropout) (None, 16) 0 _________________________________________________________________ dense_319 (Dense) (None, 4) 68 _________________________________________________________________ dropout_240 (Dropout) (None, 4) 0 _________________________________________________________________ dense_320 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18849328834276932 acc max: 0.9430769263781034 loss mean : 0.22424303589206476 acc mean: 0.9332276956129991
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_321 (Dense) (None, 32) 352 _________________________________________________________________ dropout_241 (Dropout) (None, 32) 0 _________________________________________________________________ dense_322 (Dense) (None, 16) 528 _________________________________________________________________ dropout_242 (Dropout) (None, 16) 0 _________________________________________________________________ dense_323 (Dense) (None, 8) 136 _________________________________________________________________ dropout_243 (Dropout) (None, 8) 0 _________________________________________________________________ dense_324 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18582759341368307 acc max: 0.9553846175854023 loss mean : 0.2589303042048904 acc mean: 0.9445353871505077
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_325 (Dense) (None, 32) 352 _________________________________________________________________ dropout_244 (Dropout) (None, 32) 0 _________________________________________________________________ dense_326 (Dense) (None, 16) 528 _________________________________________________________________ dropout_245 (Dropout) (None, 16) 0 _________________________________________________________________ dense_327 (Dense) (None, 8) 136 _________________________________________________________________ dropout_246 (Dropout) (None, 8) 0 _________________________________________________________________ dense_328 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11883998948794144 acc max: 0.9676923098930946 loss mean : 0.17061910700582542 acc mean: 0.9493400033670205
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_329 (Dense) (None, 32) 352 _________________________________________________________________ dropout_247 (Dropout) (None, 32) 0 _________________________________________________________________ dense_330 (Dense) (None, 16) 528 _________________________________________________________________ dropout_248 (Dropout) (None, 16) 0 _________________________________________________________________ dense_331 (Dense) (None, 8) 136 _________________________________________________________________ dropout_249 (Dropout) (None, 8) 0 _________________________________________________________________ dense_332 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1841346362920908 acc max: 0.9400000025675846 loss mean : 0.2969753015170189 acc mean: 0.9308600032534966
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_333 (Dense) (None, 32) 352 _________________________________________________________________ dropout_250 (Dropout) (None, 32) 0 _________________________________________________________________ dense_334 (Dense) (None, 16) 528 _________________________________________________________________ dropout_251 (Dropout) (None, 16) 0 _________________________________________________________________ dense_335 (Dense) (None, 8) 136 _________________________________________________________________ dropout_252 (Dropout) (None, 8) 0 _________________________________________________________________ dense_336 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21257995628393614 acc max: 0.9323076956088726 loss mean : 0.40831947984117734 acc mean: 0.9236169270662161
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_337 (Dense) (None, 32) 352 _________________________________________________________________ dropout_253 (Dropout) (None, 32) 0 _________________________________________________________________ dense_338 (Dense) (None, 16) 528 _________________________________________________________________ dropout_254 (Dropout) (None, 16) 0 _________________________________________________________________ dense_339 (Dense) (None, 8) 136 _________________________________________________________________ dropout_255 (Dropout) (None, 8) 0 _________________________________________________________________ dense_340 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16415402630200754 acc max: 0.9476923095262968 loss mean : 0.1806897399286582 acc mean: 0.9382000022479204
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_341 (Dense) (None, 32) 352 _________________________________________________________________ dropout_256 (Dropout) (None, 32) 0 _________________________________________________________________ dense_342 (Dense) (None, 16) 528 _________________________________________________________________ dropout_257 (Dropout) (None, 16) 0 _________________________________________________________________ dense_343 (Dense) (None, 8) 136 _________________________________________________________________ dropout_258 (Dropout) (None, 8) 0 _________________________________________________________________ dense_344 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12130595812430749 acc max: 0.9615384641060463 loss mean : 0.13296631134711778 acc mean: 0.9535769263335374
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_345 (Dense) (None, 32) 352 _________________________________________________________________ dropout_259 (Dropout) (None, 32) 0 _________________________________________________________________ dense_346 (Dense) (None, 16) 528 _________________________________________________________________ dropout_260 (Dropout) (None, 16) 0 _________________________________________________________________ dense_347 (Dense) (None, 8) 136 _________________________________________________________________ dropout_261 (Dropout) (None, 8) 0 _________________________________________________________________ dense_348 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18060255091923932 acc max: 0.9492307710647583 loss mean : 0.20636290958954737 acc mean: 0.9389646179628371
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_349 (Dense) (None, 32) 352 _________________________________________________________________ dropout_262 (Dropout) (None, 32) 0 _________________________________________________________________ dense_350 (Dense) (None, 16) 528 _________________________________________________________________ dropout_263 (Dropout) (None, 16) 0 _________________________________________________________________ dense_351 (Dense) (None, 8) 136 _________________________________________________________________ dropout_264 (Dropout) (None, 8) 0 _________________________________________________________________ dense_352 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20114573877591352 acc max: 0.9384615417627188 loss mean : 0.23523453463082128 acc mean: 0.9294738494863878
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_353 (Dense) (None, 32) 352 _________________________________________________________________ dropout_265 (Dropout) (None, 32) 0 _________________________________________________________________ dense_354 (Dense) (None, 16) 528 _________________________________________________________________ dropout_266 (Dropout) (None, 16) 0 _________________________________________________________________ dense_355 (Dense) (None, 16) 272 _________________________________________________________________ dropout_267 (Dropout) (None, 16) 0 _________________________________________________________________ dense_356 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1779051597760274 acc max: 0.9461538490882286 loss mean : 0.25033306079765927 acc mean: 0.9391153870872352
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_357 (Dense) (None, 32) 352 _________________________________________________________________ dropout_268 (Dropout) (None, 32) 0 _________________________________________________________________ dense_358 (Dense) (None, 16) 528 _________________________________________________________________ dropout_269 (Dropout) (None, 16) 0 _________________________________________________________________ dense_359 (Dense) (None, 16) 272 _________________________________________________________________ dropout_270 (Dropout) (None, 16) 0 _________________________________________________________________ dense_360 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12876695146927467 acc max: 0.9646153875497672 loss mean : 0.17907000438896511 acc mean: 0.9523123104906082
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_361 (Dense) (None, 32) 352 _________________________________________________________________ dropout_271 (Dropout) (None, 32) 0 _________________________________________________________________ dense_362 (Dense) (None, 16) 528 _________________________________________________________________ dropout_272 (Dropout) (None, 16) 0 _________________________________________________________________ dense_363 (Dense) (None, 16) 272 _________________________________________________________________ dropout_273 (Dropout) (None, 16) 0 _________________________________________________________________ dense_364 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19247491391805502 acc max: 0.9492307717983539 loss mean : 0.26893136566290493 acc mean: 0.9354307721204025
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_365 (Dense) (None, 32) 352 _________________________________________________________________ dropout_274 (Dropout) (None, 32) 0 _________________________________________________________________ dense_366 (Dense) (None, 16) 528 _________________________________________________________________ dropout_275 (Dropout) (None, 16) 0 _________________________________________________________________ dense_367 (Dense) (None, 16) 272 _________________________________________________________________ dropout_276 (Dropout) (None, 16) 0 _________________________________________________________________ dense_368 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19442016046780805 acc max: 0.9430769256445077 loss mean : 0.3486622666585904 acc mean: 0.9209907733517427
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_369 (Dense) (None, 32) 352 _________________________________________________________________ dropout_277 (Dropout) (None, 32) 0 _________________________________________________________________ dense_370 (Dense) (None, 16) 528 _________________________________________________________________ dropout_278 (Dropout) (None, 16) 0 _________________________________________________________________ dense_371 (Dense) (None, 16) 272 _________________________________________________________________ dropout_279 (Dropout) (None, 16) 0 _________________________________________________________________ dense_372 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17983025562304716 acc max: 0.9538461553133452 loss mean : 0.20197265493078873 acc mean: 0.9400000020984502
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_373 (Dense) (None, 32) 352 _________________________________________________________________ dropout_280 (Dropout) (None, 32) 0 _________________________________________________________________ dense_374 (Dense) (None, 16) 528 _________________________________________________________________ dropout_281 (Dropout) (None, 16) 0 _________________________________________________________________ dense_375 (Dense) (None, 16) 272 _________________________________________________________________ dropout_282 (Dropout) (None, 16) 0 _________________________________________________________________ dense_376 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11433428319600912 acc max: 0.9646153871829694 loss mean : 0.13822337441233487 acc mean: 0.9506800029431858
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_377 (Dense) (None, 32) 352 _________________________________________________________________ dropout_283 (Dropout) (None, 32) 0 _________________________________________________________________ dense_378 (Dense) (None, 16) 528 _________________________________________________________________ dropout_284 (Dropout) (None, 16) 0 _________________________________________________________________ dense_379 (Dense) (None, 16) 272 _________________________________________________________________ dropout_285 (Dropout) (None, 16) 0 _________________________________________________________________ dense_380 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18277524879345527 acc max: 0.9507692329700177 loss mean : 0.2141889411332057 acc mean: 0.9382707719975252
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_381 (Dense) (None, 32) 352 _________________________________________________________________ dropout_286 (Dropout) (None, 32) 0 _________________________________________________________________ dense_382 (Dense) (None, 16) 528 _________________________________________________________________ dropout_287 (Dropout) (None, 16) 0 _________________________________________________________________ dense_383 (Dense) (None, 16) 272 _________________________________________________________________ dropout_288 (Dropout) (None, 16) 0 _________________________________________________________________ dense_384 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1956564098596573 acc max: 0.9430769256445077 loss mean : 0.24803825407220767 acc mean: 0.9325415418997179
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_385 (Dense) (None, 32) 352 _________________________________________________________________ dropout_289 (Dropout) (None, 32) 0 _________________________________________________________________ dense_386 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_290 (Dropout) (None, 32) 0 _________________________________________________________________ dense_387 (Dense) (None, 4) 132 _________________________________________________________________ dropout_291 (Dropout) (None, 4) 0 _________________________________________________________________ dense_388 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18525890620855184 acc max: 0.9461538487214308 loss mean : 0.270379127655121 acc mean: 0.938441541062135
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_389 (Dense) (None, 32) 352 _________________________________________________________________ dropout_292 (Dropout) (None, 32) 0 _________________________________________________________________ dense_390 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_293 (Dropout) (None, 32) 0 _________________________________________________________________ dense_391 (Dense) (None, 4) 132 _________________________________________________________________ dropout_294 (Dropout) (None, 4) 0 _________________________________________________________________ dense_392 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.120091416652386 acc max: 0.9646153875497672 loss mean : 0.16524960809565506 acc mean: 0.9529646184791052
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_393 (Dense) (None, 32) 352 _________________________________________________________________ dropout_295 (Dropout) (None, 32) 0 _________________________________________________________________ dense_394 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_296 (Dropout) (None, 32) 0 _________________________________________________________________ dense_395 (Dense) (None, 4) 132 _________________________________________________________________ dropout_297 (Dropout) (None, 4) 0 _________________________________________________________________ dense_396 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1895963521187122 acc max: 0.9461538479878352 loss mean : 0.2575637759197217 acc mean: 0.9318200026935798
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_397 (Dense) (None, 32) 352 _________________________________________________________________ dropout_298 (Dropout) (None, 32) 0 _________________________________________________________________ dense_398 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_299 (Dropout) (None, 32) 0 _________________________________________________________________ dense_399 (Dense) (None, 4) 132 _________________________________________________________________ dropout_300 (Dropout) (None, 4) 0 _________________________________________________________________ dense_400 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1943265935090872 acc max: 0.938461541395921 loss mean : 0.38124302632964574 acc mean: 0.9280938495426911
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_401 (Dense) (None, 32) 352 _________________________________________________________________ dropout_301 (Dropout) (None, 32) 0 _________________________________________________________________ dense_402 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_302 (Dropout) (None, 32) 0 _________________________________________________________________ dense_403 (Dense) (None, 4) 132 _________________________________________________________________ dropout_303 (Dropout) (None, 4) 0 _________________________________________________________________ dense_404 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17323901612025042 acc max: 0.9446153875497671 loss mean : 0.20049338472125625 acc mean: 0.937718464208933
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_405 (Dense) (None, 32) 352 _________________________________________________________________ dropout_304 (Dropout) (None, 32) 0 _________________________________________________________________ dense_406 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_305 (Dropout) (None, 32) 0 _________________________________________________________________ dense_407 (Dense) (None, 4) 132 _________________________________________________________________ dropout_306 (Dropout) (None, 4) 0 _________________________________________________________________ dense_408 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11950321747706487 acc max: 0.9646153868161715 loss mean : 0.12904827069016603 acc mean: 0.9566415417761069
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_409 (Dense) (None, 32) 352 _________________________________________________________________ dropout_307 (Dropout) (None, 32) 0 _________________________________________________________________ dense_410 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_308 (Dropout) (None, 32) 0 _________________________________________________________________ dense_411 (Dense) (None, 4) 132 _________________________________________________________________ dropout_309 (Dropout) (None, 4) 0 _________________________________________________________________ dense_412 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17450478425392738 acc max: 0.9446153871829693 loss mean : 0.20417473594541732 acc mean: 0.9341723104701593
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_413 (Dense) (None, 32) 352 _________________________________________________________________ dropout_310 (Dropout) (None, 32) 0 _________________________________________________________________ dense_414 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_311 (Dropout) (None, 32) 0 _________________________________________________________________ dense_415 (Dense) (None, 4) 132 _________________________________________________________________ dropout_312 (Dropout) (None, 4) 0 _________________________________________________________________ dense_416 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18023722864114322 acc max: 0.9446153875497671 loss mean : 0.22813820623347392 acc mean: 0.9351984650261584
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_417 (Dense) (None, 32) 352 _________________________________________________________________ dropout_313 (Dropout) (None, 32) 0 _________________________________________________________________ dense_418 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_314 (Dropout) (None, 32) 0 _________________________________________________________________ dense_419 (Dense) (None, 8) 264 _________________________________________________________________ dropout_315 (Dropout) (None, 8) 0 _________________________________________________________________ dense_420 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18300782524622403 acc max: 0.9492307721651517 loss mean : 0.32853182665724023 acc mean: 0.9377630797215609
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_421 (Dense) (None, 32) 352 _________________________________________________________________ dropout_316 (Dropout) (None, 32) 0 _________________________________________________________________ dense_422 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_317 (Dropout) (None, 32) 0 _________________________________________________________________ dense_423 (Dense) (None, 8) 264 _________________________________________________________________ dropout_318 (Dropout) (None, 8) 0 _________________________________________________________________ dense_424 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11599129461325132 acc max: 0.9630769260113056 loss mean : 0.24761106222083937 acc mean: 0.9463892340269456
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_425 (Dense) (None, 32) 352 _________________________________________________________________ dropout_319 (Dropout) (None, 32) 0 _________________________________________________________________ dense_426 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_320 (Dropout) (None, 32) 0 _________________________________________________________________ dense_427 (Dense) (None, 8) 264 _________________________________________________________________ dropout_321 (Dropout) (None, 8) 0 _________________________________________________________________ dense_428 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17412659250772916 acc max: 0.9569230791238638 loss mean : 0.2935078601247989 acc mean: 0.9421030795040498
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_429 (Dense) (None, 32) 352 _________________________________________________________________ dropout_322 (Dropout) (None, 32) 0 _________________________________________________________________ dense_430 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_323 (Dropout) (None, 32) 0 _________________________________________________________________ dense_431 (Dense) (None, 8) 264 _________________________________________________________________ dropout_324 (Dropout) (None, 8) 0 _________________________________________________________________ dense_432 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20105588775414687 acc max: 0.9384615421295166 loss mean : 0.38570749382509634 acc mean: 0.9275415422964097
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_433 (Dense) (None, 32) 352 _________________________________________________________________ dropout_325 (Dropout) (None, 32) 0 _________________________________________________________________ dense_434 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_326 (Dropout) (None, 32) 0 _________________________________________________________________ dense_435 (Dense) (None, 8) 264 _________________________________________________________________ dropout_327 (Dropout) (None, 8) 0 _________________________________________________________________ dense_436 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1739973979959121 acc max: 0.9523076945084792 loss mean : 0.20961134401523152 acc mean: 0.9440415407848359
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_437 (Dense) (None, 32) 352 _________________________________________________________________ dropout_328 (Dropout) (None, 32) 0 _________________________________________________________________ dense_438 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_329 (Dropout) (None, 32) 0 _________________________________________________________________ dense_439 (Dense) (None, 8) 264 _________________________________________________________________ dropout_330 (Dropout) (None, 8) 0 _________________________________________________________________ dense_440 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1279808248923375 acc max: 0.9646153868161715 loss mean : 0.14035026313332413 acc mean: 0.9512369259760931
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_441 (Dense) (None, 32) 352 _________________________________________________________________ dropout_331 (Dropout) (None, 32) 0 _________________________________________________________________ dense_442 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_332 (Dropout) (None, 32) 0 _________________________________________________________________ dense_443 (Dense) (None, 8) 264 _________________________________________________________________ dropout_333 (Dropout) (None, 8) 0 _________________________________________________________________ dense_444 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17632364231806535 acc max: 0.9492307714315561 loss mean : 0.2059403997600537 acc mean: 0.9413600024065604
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_445 (Dense) (None, 32) 352 _________________________________________________________________ dropout_334 (Dropout) (None, 32) 0 _________________________________________________________________ dense_446 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_335 (Dropout) (None, 32) 0 _________________________________________________________________ dense_447 (Dense) (None, 8) 264 _________________________________________________________________ dropout_336 (Dropout) (None, 8) 0 _________________________________________________________________ dense_448 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20095806429019342 acc max: 0.9400000029343825 loss mean : 0.25159966486128477 acc mean: 0.9295723111468096
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_449 (Dense) (None, 32) 352 _________________________________________________________________ dropout_337 (Dropout) (None, 32) 0 _________________________________________________________________ dense_450 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_338 (Dropout) (None, 32) 0 _________________________________________________________________ dense_451 (Dense) (None, 16) 528 _________________________________________________________________ dropout_339 (Dropout) (None, 16) 0 _________________________________________________________________ dense_452 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18568082756721058 acc max: 0.9523076945084792 loss mean : 0.2934670975398329 acc mean: 0.9432138486680618
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_453 (Dense) (None, 32) 352 _________________________________________________________________ dropout_340 (Dropout) (None, 32) 0 _________________________________________________________________ dense_454 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_341 (Dropout) (None, 32) 0 _________________________________________________________________ dense_455 (Dense) (None, 16) 528 _________________________________________________________________ dropout_342 (Dropout) (None, 16) 0 _________________________________________________________________ dense_456 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1115124655686892 acc max: 0.966153848354633 loss mean : 0.21915104183375836 acc mean: 0.9479261569962134
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_457 (Dense) (None, 32) 352 _________________________________________________________________ dropout_343 (Dropout) (None, 32) 0 _________________________________________________________________ dense_458 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_344 (Dropout) (None, 32) 0 _________________________________________________________________ dense_459 (Dense) (None, 16) 528 _________________________________________________________________ dropout_345 (Dropout) (None, 16) 0 _________________________________________________________________ dense_460 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1751829515512173 acc max: 0.9461538487214308 loss mean : 0.3219183128635241 acc mean: 0.9336876952288701
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_461 (Dense) (None, 32) 352 _________________________________________________________________ dropout_346 (Dropout) (None, 32) 0 _________________________________________________________________ dense_462 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_347 (Dropout) (None, 32) 0 _________________________________________________________________ dense_463 (Dense) (None, 16) 528 _________________________________________________________________ dropout_348 (Dropout) (None, 16) 0 _________________________________________________________________ dense_464 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19911879172691932 acc max: 0.9415384648396419 loss mean : 0.44846331578561893 acc mean: 0.9320769266322945
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_465 (Dense) (None, 32) 352 _________________________________________________________________ dropout_349 (Dropout) (None, 32) 0 _________________________________________________________________ dense_466 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_350 (Dropout) (None, 32) 0 _________________________________________________________________ dense_467 (Dense) (None, 16) 528 _________________________________________________________________ dropout_351 (Dropout) (None, 16) 0 _________________________________________________________________ dense_468 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17849090468425016 acc max: 0.9461538487214308 loss mean : 0.19422861985071346 acc mean: 0.9381415411094519
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_469 (Dense) (None, 32) 352 _________________________________________________________________ dropout_352 (Dropout) (None, 32) 0 _________________________________________________________________ dense_470 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_353 (Dropout) (None, 32) 0 _________________________________________________________________ dense_471 (Dense) (None, 16) 528 _________________________________________________________________ dropout_354 (Dropout) (None, 16) 0 _________________________________________________________________ dense_472 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11744007371939146 acc max: 0.9676923098930946 loss mean : 0.128326826828764 acc mean: 0.9596384645131918
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_473 (Dense) (None, 32) 352 _________________________________________________________________ dropout_355 (Dropout) (None, 32) 0 _________________________________________________________________ dense_474 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_356 (Dropout) (None, 32) 0 _________________________________________________________________ dense_475 (Dense) (None, 16) 528 _________________________________________________________________ dropout_357 (Dropout) (None, 16) 0 _________________________________________________________________ dense_476 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17674030400239504 acc max: 0.9430769260113055 loss mean : 0.21237013086566559 acc mean: 0.9352000029409848
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_477 (Dense) (None, 32) 352 _________________________________________________________________ dropout_358 (Dropout) (None, 32) 0 _________________________________________________________________ dense_478 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_359 (Dropout) (None, 32) 0 _________________________________________________________________ dense_479 (Dense) (None, 16) 528 _________________________________________________________________ dropout_360 (Dropout) (None, 16) 0 _________________________________________________________________ dense_480 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1977755450285398 acc max: 0.9415384644728441 loss mean : 0.25977284531446604 acc mean: 0.931820003634783
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 32 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_481 (Dense) (None, 32) 352 _________________________________________________________________ dropout_361 (Dropout) (None, 32) 0 _________________________________________________________________ dense_482 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_362 (Dropout) (None, 32) 0 _________________________________________________________________ dense_483 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_363 (Dropout) (None, 32) 0 _________________________________________________________________ dense_484 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19042042296666364 acc max: 0.9476923106266902 loss mean : 0.33432189941667595 acc mean: 0.9369938492505367
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_485 (Dense) (None, 32) 352 _________________________________________________________________ dropout_364 (Dropout) (None, 32) 0 _________________________________________________________________ dense_486 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_365 (Dropout) (None, 32) 0 _________________________________________________________________ dense_487 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_366 (Dropout) (None, 32) 0 _________________________________________________________________ dense_488 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12045736872232878 acc max: 0.9661538487214308 loss mean : 0.20529734196988436 acc mean: 0.9524276957346843
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_489 (Dense) (None, 32) 352 _________________________________________________________________ dropout_367 (Dropout) (None, 32) 0 _________________________________________________________________ dense_490 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_368 (Dropout) (None, 32) 0 _________________________________________________________________ dense_491 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_369 (Dropout) (None, 32) 0 _________________________________________________________________ dense_492 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17421386347367213 acc max: 0.9446153871829693 loss mean : 0.28057389656481835 acc mean: 0.9327553874136851
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_493 (Dense) (None, 32) 352 _________________________________________________________________ dropout_370 (Dropout) (None, 32) 0 _________________________________________________________________ dense_494 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_371 (Dropout) (None, 32) 0 _________________________________________________________________ dense_495 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_372 (Dropout) (None, 32) 0 _________________________________________________________________ dense_496 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20960059395203223 acc max: 0.933846157514132 loss mean : 0.4830864364847311 acc mean: 0.9255846189807012
======================================================================================================= Activation: relu Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 32 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_497 (Dense) (None, 32) 352 _________________________________________________________________ dropout_373 (Dropout) (None, 32) 0 _________________________________________________________________ dense_498 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_374 (Dropout) (None, 32) 0 _________________________________________________________________ dense_499 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_375 (Dropout) (None, 32) 0 _________________________________________________________________ dense_500 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1792502591930903 acc max: 0.9492307717983539 loss mean : 0.21605551476806403 acc mean: 0.9416092332040346
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_501 (Dense) (None, 32) 352 _________________________________________________________________ dropout_376 (Dropout) (None, 32) 0 _________________________________________________________________ dense_502 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_377 (Dropout) (None, 32) 0 _________________________________________________________________ dense_503 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_378 (Dropout) (None, 32) 0 _________________________________________________________________ dense_504 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.11994141179781694 acc max: 0.9615384648396419 loss mean : 0.13077535606494317 acc mean: 0.9522553878881381
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_505 (Dense) (None, 32) 352 _________________________________________________________________ dropout_379 (Dropout) (None, 32) 0 _________________________________________________________________ dense_506 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_380 (Dropout) (None, 32) 0 _________________________________________________________________ dense_507 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_381 (Dropout) (None, 32) 0 _________________________________________________________________ dense_508 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17610732064797327 acc max: 0.9492307717983539 loss mean : 0.19945364442747374 acc mean: 0.9403830796430661
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_509 (Dense) (None, 32) 352 _________________________________________________________________ dropout_382 (Dropout) (None, 32) 0 _________________________________________________________________ dense_510 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_383 (Dropout) (None, 32) 0 _________________________________________________________________ dense_511 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_384 (Dropout) (None, 32) 0 _________________________________________________________________ dense_512 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21219911323143886 acc max: 0.9369230809578529 loss mean : 0.25592754916342403 acc mean: 0.929672311192476
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_513 (Dense) (None, 16) 176 _________________________________________________________________ dropout_385 (Dropout) (None, 16) 0 _________________________________________________________________ dense_514 (Dense) (None, 8) 136 _________________________________________________________________ dropout_386 (Dropout) (None, 8) 0 _________________________________________________________________ dense_515 (Dense) (None, 4) 36 _________________________________________________________________ dropout_387 (Dropout) (None, 4) 0 _________________________________________________________________ dense_516 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19708033171983866 acc max: 0.932307694875277 loss mean : 0.23808335820904142 acc mean: 0.9083569253297494
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_517 (Dense) (None, 16) 176 _________________________________________________________________ dropout_388 (Dropout) (None, 16) 0 _________________________________________________________________ dense_518 (Dense) (None, 8) 136 _________________________________________________________________ dropout_389 (Dropout) (None, 8) 0 _________________________________________________________________ dense_519 (Dense) (None, 4) 36 _________________________________________________________________ dropout_390 (Dropout) (None, 4) 0 _________________________________________________________________ dense_520 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1385219669342041 acc max: 0.956923080591055 loss mean : 0.19051594829550159 acc mean: 0.9341261575341224
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_521 (Dense) (None, 16) 176 _________________________________________________________________ dropout_391 (Dropout) (None, 16) 0 _________________________________________________________________ dense_522 (Dense) (None, 8) 136 _________________________________________________________________ dropout_392 (Dropout) (None, 8) 0 _________________________________________________________________ dense_523 (Dense) (None, 4) 36 _________________________________________________________________ dropout_393 (Dropout) (None, 4) 0 _________________________________________________________________ dense_524 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20114623537430396 acc max: 0.9353846186857957 loss mean : 0.25553498912325273 acc mean: 0.9082692340007195
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_525 (Dense) (None, 16) 176 _________________________________________________________________ dropout_394 (Dropout) (None, 16) 0 _________________________________________________________________ dense_526 (Dense) (None, 8) 136 _________________________________________________________________ dropout_395 (Dropout) (None, 8) 0 _________________________________________________________________ dense_527 (Dense) (None, 4) 36 _________________________________________________________________ dropout_396 (Dropout) (None, 4) 0 _________________________________________________________________ dense_528 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20301333078971276 acc max: 0.9246153890169584 loss mean : 0.25919817378085397 acc mean: 0.8903815422118628
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_529 (Dense) (None, 16) 176 _________________________________________________________________ dropout_397 (Dropout) (None, 16) 0 _________________________________________________________________ dense_530 (Dense) (None, 8) 136 _________________________________________________________________ dropout_398 (Dropout) (None, 8) 0 _________________________________________________________________ dense_531 (Dense) (None, 4) 36 _________________________________________________________________ dropout_399 (Dropout) (None, 4) 0 _________________________________________________________________ dense_532 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1879451908973547 acc max: 0.9353846179522001 loss mean : 0.22848415801933178 acc mean: 0.9146800022372833
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_533 (Dense) (None, 16) 176 _________________________________________________________________ dropout_400 (Dropout) (None, 16) 0 _________________________________________________________________ dense_534 (Dense) (None, 8) 136 _________________________________________________________________ dropout_401 (Dropout) (None, 8) 0 _________________________________________________________________ dense_535 (Dense) (None, 4) 36 _________________________________________________________________ dropout_402 (Dropout) (None, 4) 0 _________________________________________________________________ dense_536 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13983168794558598 acc max: 0.9584615421295166 loss mean : 0.193681715272665 acc mean: 0.9335246190384717
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_537 (Dense) (None, 16) 176 _________________________________________________________________ dropout_403 (Dropout) (None, 16) 0 _________________________________________________________________ dense_538 (Dense) (None, 8) 136 _________________________________________________________________ dropout_404 (Dropout) (None, 8) 0 _________________________________________________________________ dense_539 (Dense) (None, 4) 36 _________________________________________________________________ dropout_405 (Dropout) (None, 4) 0 _________________________________________________________________ dense_540 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2125855661355532 acc max: 0.9400000029343825 loss mean : 0.2702422465410141 acc mean: 0.9034723108350315
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_541 (Dense) (None, 16) 176 _________________________________________________________________ dropout_406 (Dropout) (None, 16) 0 _________________________________________________________________ dense_542 (Dense) (None, 8) 136 _________________________________________________________________ dropout_407 (Dropout) (None, 8) 0 _________________________________________________________________ dense_543 (Dense) (None, 4) 36 _________________________________________________________________ dropout_408 (Dropout) (None, 4) 0 _________________________________________________________________ dense_544 (Dense) (None, 2) 10 ================================================================= Total params: 358 Trainable params: 358 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19702182627641238 acc max: 0.9200000044015738 loss mean : 0.22940625090186412 acc mean: 0.9041246194494688
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_545 (Dense) (None, 16) 176 _________________________________________________________________ dropout_409 (Dropout) (None, 16) 0 _________________________________________________________________ dense_546 (Dense) (None, 8) 136 _________________________________________________________________ dropout_410 (Dropout) (None, 8) 0 _________________________________________________________________ dense_547 (Dense) (None, 8) 72 _________________________________________________________________ dropout_411 (Dropout) (None, 8) 0 _________________________________________________________________ dense_548 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18057423261495736 acc max: 0.9353846175854023 loss mean : 0.21959024819458903 acc mean: 0.9182815405970355
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_549 (Dense) (None, 16) 176 _________________________________________________________________ dropout_412 (Dropout) (None, 16) 0 _________________________________________________________________ dense_550 (Dense) (None, 8) 136 _________________________________________________________________ dropout_413 (Dropout) (None, 8) 0 _________________________________________________________________ dense_551 (Dense) (None, 8) 72 _________________________________________________________________ dropout_414 (Dropout) (None, 8) 0 _________________________________________________________________ dense_552 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13540914452992953 acc max: 0.9569230809578528 loss mean : 0.1721594040602904 acc mean: 0.9393353889386469
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_553 (Dense) (None, 16) 176 _________________________________________________________________ dropout_415 (Dropout) (None, 16) 0 _________________________________________________________________ dense_554 (Dense) (None, 8) 136 _________________________________________________________________ dropout_416 (Dropout) (None, 8) 0 _________________________________________________________________ dense_555 (Dense) (None, 8) 72 _________________________________________________________________ dropout_417 (Dropout) (None, 8) 0 _________________________________________________________________ dense_556 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20101009043363424 acc max: 0.9369230802242573 loss mean : 0.2423164925125929 acc mean: 0.9143800034495501
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_557 (Dense) (None, 16) 176 _________________________________________________________________ dropout_418 (Dropout) (None, 16) 0 _________________________________________________________________ dense_558 (Dense) (None, 8) 136 _________________________________________________________________ dropout_419 (Dropout) (None, 8) 0 _________________________________________________________________ dense_559 (Dense) (None, 8) 72 _________________________________________________________________ dropout_420 (Dropout) (None, 8) 0 _________________________________________________________________ dense_560 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19793203262182382 acc max: 0.9230769278452946 loss mean : 0.22987007466815987 acc mean: 0.9058923118948936
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_561 (Dense) (None, 16) 176 _________________________________________________________________ dropout_421 (Dropout) (None, 16) 0 _________________________________________________________________ dense_562 (Dense) (None, 8) 136 _________________________________________________________________ dropout_422 (Dropout) (None, 8) 0 _________________________________________________________________ dense_563 (Dense) (None, 8) 72 _________________________________________________________________ dropout_423 (Dropout) (None, 8) 0 _________________________________________________________________ dense_564 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1835399305820465 acc max: 0.9400000022007868 loss mean : 0.21748582488165455 acc mean: 0.9212584634584648
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_565 (Dense) (None, 16) 176 _________________________________________________________________ dropout_424 (Dropout) (None, 16) 0 _________________________________________________________________ dense_566 (Dense) (None, 8) 136 _________________________________________________________________ dropout_425 (Dropout) (None, 8) 0 _________________________________________________________________ dense_567 (Dense) (None, 8) 72 _________________________________________________________________ dropout_426 (Dropout) (None, 8) 0 _________________________________________________________________ dense_568 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13917891268546764 acc max: 0.9600000033011803 loss mean : 0.1872807821521392 acc mean: 0.9346830805978407
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_569 (Dense) (None, 16) 176 _________________________________________________________________ dropout_427 (Dropout) (None, 16) 0 _________________________________________________________________ dense_570 (Dense) (None, 8) 136 _________________________________________________________________ dropout_428 (Dropout) (None, 8) 0 _________________________________________________________________ dense_571 (Dense) (None, 8) 72 _________________________________________________________________ dropout_429 (Dropout) (None, 8) 0 _________________________________________________________________ dense_572 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20180527719167562 acc max: 0.9400000025675846 loss mean : 0.2503805218515946 acc mean: 0.9143723108143073
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_573 (Dense) (None, 16) 176 _________________________________________________________________ dropout_430 (Dropout) (None, 16) 0 _________________________________________________________________ dense_574 (Dense) (None, 8) 136 _________________________________________________________________ dropout_431 (Dropout) (None, 8) 0 _________________________________________________________________ dense_575 (Dense) (None, 8) 72 _________________________________________________________________ dropout_432 (Dropout) (None, 8) 0 _________________________________________________________________ dense_576 (Dense) (None, 2) 18 ================================================================= Total params: 402 Trainable params: 402 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19580962657928466 acc max: 0.9230769274784969 loss mean : 0.23256307336953969 acc mean: 0.9041569268958385
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_577 (Dense) (None, 16) 176 _________________________________________________________________ dropout_433 (Dropout) (None, 16) 0 _________________________________________________________________ dense_578 (Dense) (None, 8) 136 _________________________________________________________________ dropout_434 (Dropout) (None, 8) 0 _________________________________________________________________ dense_579 (Dense) (None, 16) 144 _________________________________________________________________ dropout_435 (Dropout) (None, 16) 0 _________________________________________________________________ dense_580 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17954410014244226 acc max: 0.9338461560469408 loss mean : 0.21128517292288634 acc mean: 0.9200261559873361
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_581 (Dense) (None, 16) 176 _________________________________________________________________ dropout_436 (Dropout) (None, 16) 0 _________________________________________________________________ dense_582 (Dense) (None, 8) 136 _________________________________________________________________ dropout_437 (Dropout) (None, 8) 0 _________________________________________________________________ dense_583 (Dense) (None, 16) 144 _________________________________________________________________ dropout_438 (Dropout) (None, 16) 0 _________________________________________________________________ dense_584 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13666596247599674 acc max: 0.9584615424963144 loss mean : 0.17901267330939954 acc mean: 0.936660003779668
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_585 (Dense) (None, 16) 176 _________________________________________________________________ dropout_439 (Dropout) (None, 16) 0 _________________________________________________________________ dense_586 (Dense) (None, 8) 136 _________________________________________________________________ dropout_440 (Dropout) (None, 8) 0 _________________________________________________________________ dense_587 (Dense) (None, 16) 144 _________________________________________________________________ dropout_441 (Dropout) (None, 16) 0 _________________________________________________________________ dense_588 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19864457588929396 acc max: 0.9353846186857957 loss mean : 0.2437796457062776 acc mean: 0.9088369267347226
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_589 (Dense) (None, 16) 176 _________________________________________________________________ dropout_442 (Dropout) (None, 16) 0 _________________________________________________________________ dense_590 (Dense) (None, 8) 136 _________________________________________________________________ dropout_443 (Dropout) (None, 8) 0 _________________________________________________________________ dense_591 (Dense) (None, 16) 144 _________________________________________________________________ dropout_444 (Dropout) (None, 16) 0 _________________________________________________________________ dense_592 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19374719165838683 acc max: 0.9261538501886221 loss mean : 0.22310957246436525 acc mean: 0.9077923119370754
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 8 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_593 (Dense) (None, 16) 176 _________________________________________________________________ dropout_445 (Dropout) (None, 16) 0 _________________________________________________________________ dense_594 (Dense) (None, 8) 136 _________________________________________________________________ dropout_446 (Dropout) (None, 8) 0 _________________________________________________________________ dense_595 (Dense) (None, 16) 144 _________________________________________________________________ dropout_447 (Dropout) (None, 16) 0 _________________________________________________________________ dense_596 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17764713003085209 acc max: 0.9384615402955275 loss mean : 0.2185431826381729 acc mean: 0.9203707711210618
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_597 (Dense) (None, 16) 176 _________________________________________________________________ dropout_448 (Dropout) (None, 16) 0 _________________________________________________________________ dense_598 (Dense) (None, 8) 136 _________________________________________________________________ dropout_449 (Dropout) (None, 8) 0 _________________________________________________________________ dense_599 (Dense) (None, 16) 144 _________________________________________________________________ dropout_450 (Dropout) (None, 16) 0 _________________________________________________________________ dense_600 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13863952898062193 acc max: 0.9569230809578528 loss mean : 0.18290296537495576 acc mean: 0.9361984654958431
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_601 (Dense) (None, 16) 176 _________________________________________________________________ dropout_451 (Dropout) (None, 16) 0 _________________________________________________________________ dense_602 (Dense) (None, 8) 136 _________________________________________________________________ dropout_452 (Dropout) (None, 8) 0 _________________________________________________________________ dense_603 (Dense) (None, 16) 144 _________________________________________________________________ dropout_453 (Dropout) (None, 16) 0 _________________________________________________________________ dense_604 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21229783388284537 acc max: 0.9353846183189979 loss mean : 0.26327755237950723 acc mean: 0.9066276952913174
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_605 (Dense) (None, 16) 176 _________________________________________________________________ dropout_454 (Dropout) (None, 16) 0 _________________________________________________________________ dense_606 (Dense) (None, 8) 136 _________________________________________________________________ dropout_455 (Dropout) (None, 8) 0 _________________________________________________________________ dense_607 (Dense) (None, 16) 144 _________________________________________________________________ dropout_456 (Dropout) (None, 16) 0 _________________________________________________________________ dense_608 (Dense) (None, 2) 34 ================================================================= Total params: 490 Trainable params: 490 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2006969314813614 acc max: 0.9261538501886221 loss mean : 0.23716214291563398 acc mean: 0.9025384652546736
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_609 (Dense) (None, 16) 176 _________________________________________________________________ dropout_457 (Dropout) (None, 16) 0 _________________________________________________________________ dense_610 (Dense) (None, 16) 272 _________________________________________________________________ dropout_458 (Dropout) (None, 16) 0 _________________________________________________________________ dense_611 (Dense) (None, 4) 68 _________________________________________________________________ dropout_459 (Dropout) (None, 4) 0 _________________________________________________________________ dense_612 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19150076552079273 acc max: 0.9353846175854023 loss mean : 0.21467191151985757 acc mean: 0.9221430790622418
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_613 (Dense) (None, 16) 176 _________________________________________________________________ dropout_460 (Dropout) (None, 16) 0 _________________________________________________________________ dense_614 (Dense) (None, 16) 272 _________________________________________________________________ dropout_461 (Dropout) (None, 16) 0 _________________________________________________________________ dense_615 (Dense) (None, 4) 68 _________________________________________________________________ dropout_462 (Dropout) (None, 4) 0 _________________________________________________________________ dense_616 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13700024664402008 acc max: 0.9615384652064397 loss mean : 0.17110862324476245 acc mean: 0.9424492349177142
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_617 (Dense) (None, 16) 176 _________________________________________________________________ dropout_463 (Dropout) (None, 16) 0 _________________________________________________________________ dense_618 (Dense) (None, 16) 272 _________________________________________________________________ dropout_464 (Dropout) (None, 16) 0 _________________________________________________________________ dense_619 (Dense) (None, 4) 68 _________________________________________________________________ dropout_465 (Dropout) (None, 4) 0 _________________________________________________________________ dense_620 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20571278952635252 acc max: 0.9384615410291232 loss mean : 0.27197943127086527 acc mean: 0.8974569261676532
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_621 (Dense) (None, 16) 176 _________________________________________________________________ dropout_466 (Dropout) (None, 16) 0 _________________________________________________________________ dense_622 (Dense) (None, 16) 272 _________________________________________________________________ dropout_467 (Dropout) (None, 16) 0 _________________________________________________________________ dense_623 (Dense) (None, 4) 68 _________________________________________________________________ dropout_468 (Dropout) (None, 4) 0 _________________________________________________________________ dense_624 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1965394362119528 acc max: 0.9261538501886221 loss mean : 0.2250155147028428 acc mean: 0.910632311669313
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_625 (Dense) (None, 16) 176 _________________________________________________________________ dropout_469 (Dropout) (None, 16) 0 _________________________________________________________________ dense_626 (Dense) (None, 16) 272 _________________________________________________________________ dropout_470 (Dropout) (None, 16) 0 _________________________________________________________________ dense_627 (Dense) (None, 4) 68 _________________________________________________________________ dropout_471 (Dropout) (None, 4) 0 _________________________________________________________________ dense_628 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18232072523007026 acc max: 0.940000001833989 loss mean : 0.2246656477292226 acc mean: 0.9148923098696194
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_629 (Dense) (None, 16) 176 _________________________________________________________________ dropout_472 (Dropout) (None, 16) 0 _________________________________________________________________ dense_630 (Dense) (None, 16) 272 _________________________________________________________________ dropout_473 (Dropout) (None, 16) 0 _________________________________________________________________ dense_631 (Dense) (None, 4) 68 _________________________________________________________________ dropout_474 (Dropout) (None, 4) 0 _________________________________________________________________ dense_632 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.14305015270526591 acc max: 0.9600000033011803 loss mean : 0.20098520170211792 acc mean: 0.9309461573589765
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_633 (Dense) (None, 16) 176 _________________________________________________________________ dropout_475 (Dropout) (None, 16) 0 _________________________________________________________________ dense_634 (Dense) (None, 16) 272 _________________________________________________________________ dropout_476 (Dropout) (None, 16) 0 _________________________________________________________________ dense_635 (Dense) (None, 4) 68 _________________________________________________________________ dropout_477 (Dropout) (None, 4) 0 _________________________________________________________________ dense_636 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21897187920717093 acc max: 0.9323076952420748 loss mean : 0.2807909983365811 acc mean: 0.8916000030628534
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_637 (Dense) (None, 16) 176 _________________________________________________________________ dropout_478 (Dropout) (None, 16) 0 _________________________________________________________________ dense_638 (Dense) (None, 16) 272 _________________________________________________________________ dropout_479 (Dropout) (None, 16) 0 _________________________________________________________________ dense_639 (Dense) (None, 4) 68 _________________________________________________________________ dropout_480 (Dropout) (None, 4) 0 _________________________________________________________________ dense_640 (Dense) (None, 2) 10 ================================================================= Total params: 526 Trainable params: 526 Non-trainable params: 0 _________________________________________________________________ loss min : 0.190781361414836 acc max: 0.9276923117270837 loss mean : 0.22603650848805903 acc mean: 0.9079338500609766
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_641 (Dense) (None, 16) 176 _________________________________________________________________ dropout_481 (Dropout) (None, 16) 0 _________________________________________________________________ dense_642 (Dense) (None, 16) 272 _________________________________________________________________ dropout_482 (Dropout) (None, 16) 0 _________________________________________________________________ dense_643 (Dense) (None, 8) 136 _________________________________________________________________ dropout_483 (Dropout) (None, 8) 0 _________________________________________________________________ dense_644 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1787098156947356 acc max: 0.9415384630056528 loss mean : 0.21233091602213108 acc mean: 0.9248369251258557
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_645 (Dense) (None, 16) 176 _________________________________________________________________ dropout_484 (Dropout) (None, 16) 0 _________________________________________________________________ dense_646 (Dense) (None, 16) 272 _________________________________________________________________ dropout_485 (Dropout) (None, 16) 0 _________________________________________________________________ dense_647 (Dense) (None, 8) 136 _________________________________________________________________ dropout_486 (Dropout) (None, 8) 0 _________________________________________________________________ dense_648 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13831867208847634 acc max: 0.9600000033011803 loss mean : 0.1764199199394538 acc mean: 0.9386030810974194
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_649 (Dense) (None, 16) 176 _________________________________________________________________ dropout_487 (Dropout) (None, 16) 0 _________________________________________________________________ dense_650 (Dense) (None, 16) 272 _________________________________________________________________ dropout_488 (Dropout) (None, 16) 0 _________________________________________________________________ dense_651 (Dense) (None, 8) 136 _________________________________________________________________ dropout_489 (Dropout) (None, 8) 0 _________________________________________________________________ dense_652 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2033862853050232 acc max: 0.9338461567805364 loss mean : 0.24862708555501242 acc mean: 0.9092338493902866
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_653 (Dense) (None, 16) 176 _________________________________________________________________ dropout_490 (Dropout) (None, 16) 0 _________________________________________________________________ dense_654 (Dense) (None, 16) 272 _________________________________________________________________ dropout_491 (Dropout) (None, 16) 0 _________________________________________________________________ dense_655 (Dense) (None, 8) 136 _________________________________________________________________ dropout_492 (Dropout) (None, 8) 0 _________________________________________________________________ dense_656 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19987832981806536 acc max: 0.9230769274784969 loss mean : 0.2485919135541182 acc mean: 0.8909492347354155
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_657 (Dense) (None, 16) 176 _________________________________________________________________ dropout_493 (Dropout) (None, 16) 0 _________________________________________________________________ dense_658 (Dense) (None, 16) 272 _________________________________________________________________ dropout_494 (Dropout) (None, 16) 0 _________________________________________________________________ dense_659 (Dense) (None, 8) 136 _________________________________________________________________ dropout_495 (Dropout) (None, 8) 0 _________________________________________________________________ dense_660 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1703832405117842 acc max: 0.9384615406623253 loss mean : 0.2124555199678815 acc mean: 0.9215092328201808
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_661 (Dense) (None, 16) 176 _________________________________________________________________ dropout_496 (Dropout) (None, 16) 0 _________________________________________________________________ dense_662 (Dense) (None, 16) 272 _________________________________________________________________ dropout_497 (Dropout) (None, 16) 0 _________________________________________________________________ dense_663 (Dense) (None, 8) 136 _________________________________________________________________ dropout_498 (Dropout) (None, 8) 0 _________________________________________________________________ dense_664 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1346875364963825 acc max: 0.9569230809578528 loss mean : 0.17413093658713194 acc mean: 0.9411553882993183
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_665 (Dense) (None, 16) 176 _________________________________________________________________ dropout_499 (Dropout) (None, 16) 0 _________________________________________________________________ dense_666 (Dense) (None, 16) 272 _________________________________________________________________ dropout_500 (Dropout) (None, 16) 0 _________________________________________________________________ dense_667 (Dense) (None, 8) 136 _________________________________________________________________ dropout_501 (Dropout) (None, 8) 0 _________________________________________________________________ dense_668 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20102964103221893 acc max: 0.9415384641060462 loss mean : 0.23774876393721653 acc mean: 0.9233815414181122
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_669 (Dense) (None, 16) 176 _________________________________________________________________ dropout_502 (Dropout) (None, 16) 0 _________________________________________________________________ dense_670 (Dense) (None, 16) 272 _________________________________________________________________ dropout_503 (Dropout) (None, 16) 0 _________________________________________________________________ dense_671 (Dense) (None, 8) 136 _________________________________________________________________ dropout_504 (Dropout) (None, 8) 0 _________________________________________________________________ dense_672 (Dense) (None, 2) 18 ================================================================= Total params: 602 Trainable params: 602 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19141904363265405 acc max: 0.9246153886501606 loss mean : 0.2193841106752249 acc mean: 0.9090046195343825
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_673 (Dense) (None, 16) 176 _________________________________________________________________ dropout_505 (Dropout) (None, 16) 0 _________________________________________________________________ dense_674 (Dense) (None, 16) 272 _________________________________________________________________ dropout_506 (Dropout) (None, 16) 0 _________________________________________________________________ dense_675 (Dense) (None, 16) 272 _________________________________________________________________ dropout_507 (Dropout) (None, 16) 0 _________________________________________________________________ dense_676 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17814449892594264 acc max: 0.9400000022007868 loss mean : 0.20781552155428207 acc mean: 0.9259015406021704
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_677 (Dense) (None, 16) 176 _________________________________________________________________ dropout_508 (Dropout) (None, 16) 0 _________________________________________________________________ dense_678 (Dense) (None, 16) 272 _________________________________________________________________ dropout_509 (Dropout) (None, 16) 0 _________________________________________________________________ dense_679 (Dense) (None, 16) 272 _________________________________________________________________ dropout_510 (Dropout) (None, 16) 0 _________________________________________________________________ dense_680 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12842550186010507 acc max: 0.9600000033011803 loss mean : 0.16158273905492745 acc mean: 0.9445907734445423
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_681 (Dense) (None, 16) 176 _________________________________________________________________ dropout_511 (Dropout) (None, 16) 0 _________________________________________________________________ dense_682 (Dense) (None, 16) 272 _________________________________________________________________ dropout_512 (Dropout) (None, 16) 0 _________________________________________________________________ dense_683 (Dense) (None, 16) 272 _________________________________________________________________ dropout_513 (Dropout) (None, 16) 0 _________________________________________________________________ dense_684 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20741116399948414 acc max: 0.9323076956088726 loss mean : 0.24090627627120567 acc mean: 0.9159538500142098
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_685 (Dense) (None, 16) 176 _________________________________________________________________ dropout_514 (Dropout) (None, 16) 0 _________________________________________________________________ dense_686 (Dense) (None, 16) 272 _________________________________________________________________ dropout_515 (Dropout) (None, 16) 0 _________________________________________________________________ dense_687 (Dense) (None, 16) 272 _________________________________________________________________ dropout_516 (Dropout) (None, 16) 0 _________________________________________________________________ dense_688 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19584441038278433 acc max: 0.9323076959756704 loss mean : 0.2259207242413209 acc mean: 0.9113553884130257
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 16 , 16 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_689 (Dense) (None, 16) 176 _________________________________________________________________ dropout_517 (Dropout) (None, 16) 0 _________________________________________________________________ dense_690 (Dense) (None, 16) 272 _________________________________________________________________ dropout_518 (Dropout) (None, 16) 0 _________________________________________________________________ dense_691 (Dense) (None, 16) 272 _________________________________________________________________ dropout_519 (Dropout) (None, 16) 0 _________________________________________________________________ dense_692 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.179853875041008 acc max: 0.9323076945084792 loss mean : 0.2303675180634627 acc mean: 0.9062676946968757
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_693 (Dense) (None, 16) 176 _________________________________________________________________ dropout_520 (Dropout) (None, 16) 0 _________________________________________________________________ dense_694 (Dense) (None, 16) 272 _________________________________________________________________ dropout_521 (Dropout) (None, 16) 0 _________________________________________________________________ dense_695 (Dense) (None, 16) 272 _________________________________________________________________ dropout_522 (Dropout) (None, 16) 0 _________________________________________________________________ dense_696 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13655182604606336 acc max: 0.9600000033011803 loss mean : 0.17266274205262847 acc mean: 0.9426815420086566
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_697 (Dense) (None, 16) 176 _________________________________________________________________ dropout_523 (Dropout) (None, 16) 0 _________________________________________________________________ dense_698 (Dense) (None, 16) 272 _________________________________________________________________ dropout_524 (Dropout) (None, 16) 0 _________________________________________________________________ dense_699 (Dense) (None, 16) 272 _________________________________________________________________ dropout_525 (Dropout) (None, 16) 0 _________________________________________________________________ dense_700 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2057303985265585 acc max: 0.9353846183189979 loss mean : 0.24351329683500983 acc mean: 0.9172692341149771
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_701 (Dense) (None, 16) 176 _________________________________________________________________ dropout_526 (Dropout) (None, 16) 0 _________________________________________________________________ dense_702 (Dense) (None, 16) 272 _________________________________________________________________ dropout_527 (Dropout) (None, 16) 0 _________________________________________________________________ dense_703 (Dense) (None, 16) 272 _________________________________________________________________ dropout_528 (Dropout) (None, 16) 0 _________________________________________________________________ dense_704 (Dense) (None, 2) 34 ================================================================= Total params: 754 Trainable params: 754 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1874659195771584 acc max: 0.9276923117270837 loss mean : 0.21532852318268556 acc mean: 0.9122800041501339
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_705 (Dense) (None, 32) 352 _________________________________________________________________ dropout_529 (Dropout) (None, 32) 0 _________________________________________________________________ dense_706 (Dense) (None, 8) 264 _________________________________________________________________ dropout_530 (Dropout) (None, 8) 0 _________________________________________________________________ dense_707 (Dense) (None, 4) 36 _________________________________________________________________ dropout_531 (Dropout) (None, 4) 0 _________________________________________________________________ dense_708 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18732519855866064 acc max: 0.9338461564137386 loss mean : 0.22525898638147573 acc mean: 0.9162830794018967
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_709 (Dense) (None, 32) 352 _________________________________________________________________ dropout_532 (Dropout) (None, 32) 0 _________________________________________________________________ dense_710 (Dense) (None, 8) 264 _________________________________________________________________ dropout_533 (Dropout) (None, 8) 0 _________________________________________________________________ dense_711 (Dense) (None, 4) 36 _________________________________________________________________ dropout_534 (Dropout) (None, 4) 0 _________________________________________________________________ dense_712 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1336325195660958 acc max: 0.9569230809578528 loss mean : 0.18165085720424468 acc mean: 0.9361230809092521
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_713 (Dense) (None, 32) 352 _________________________________________________________________ dropout_535 (Dropout) (None, 32) 0 _________________________________________________________________ dense_714 (Dense) (None, 8) 264 _________________________________________________________________ dropout_536 (Dropout) (None, 8) 0 _________________________________________________________________ dense_715 (Dense) (None, 4) 36 _________________________________________________________________ dropout_537 (Dropout) (None, 4) 0 _________________________________________________________________ dense_716 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19386921048164368 acc max: 0.9400000025675846 loss mean : 0.2371737191562469 acc mean: 0.9190153876139568
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_717 (Dense) (None, 32) 352 _________________________________________________________________ dropout_538 (Dropout) (None, 32) 0 _________________________________________________________________ dense_718 (Dense) (None, 8) 264 _________________________________________________________________ dropout_539 (Dropout) (None, 8) 0 _________________________________________________________________ dense_719 (Dense) (None, 4) 36 _________________________________________________________________ dropout_540 (Dropout) (None, 4) 0 _________________________________________________________________ dense_720 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19500738703287565 acc max: 0.9276923120938815 loss mean : 0.22658318988029774 acc mean: 0.909926158061761
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_721 (Dense) (None, 32) 352 _________________________________________________________________ dropout_541 (Dropout) (None, 32) 0 _________________________________________________________________ dense_722 (Dense) (None, 8) 264 _________________________________________________________________ dropout_542 (Dropout) (None, 8) 0 _________________________________________________________________ dense_723 (Dense) (None, 4) 36 _________________________________________________________________ dropout_543 (Dropout) (None, 4) 0 _________________________________________________________________ dense_724 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1844082493506945 acc max: 0.9369230791238639 loss mean : 0.2315807575920912 acc mean: 0.908735386876739
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_725 (Dense) (None, 32) 352 _________________________________________________________________ dropout_544 (Dropout) (None, 32) 0 _________________________________________________________________ dense_726 (Dense) (None, 8) 264 _________________________________________________________________ dropout_545 (Dropout) (None, 8) 0 _________________________________________________________________ dense_727 (Dense) (None, 4) 36 _________________________________________________________________ dropout_546 (Dropout) (None, 4) 0 _________________________________________________________________ dense_728 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13610098760861616 acc max: 0.9584615421295166 loss mean : 0.1798889807298092 acc mean: 0.9362784654103793
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_729 (Dense) (None, 32) 352 _________________________________________________________________ dropout_547 (Dropout) (None, 32) 0 _________________________________________________________________ dense_730 (Dense) (None, 8) 264 _________________________________________________________________ dropout_548 (Dropout) (None, 8) 0 _________________________________________________________________ dense_731 (Dense) (None, 4) 36 _________________________________________________________________ dropout_549 (Dropout) (None, 4) 0 _________________________________________________________________ dense_732 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.21054817928717687 acc max: 0.9384615410291232 loss mean : 0.25272748093073183 acc mean: 0.9150492337485462
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_733 (Dense) (None, 32) 352 _________________________________________________________________ dropout_550 (Dropout) (None, 32) 0 _________________________________________________________________ dense_734 (Dense) (None, 8) 264 _________________________________________________________________ dropout_551 (Dropout) (None, 8) 0 _________________________________________________________________ dense_735 (Dense) (None, 4) 36 _________________________________________________________________ dropout_552 (Dropout) (None, 4) 0 _________________________________________________________________ dense_736 (Dense) (None, 2) 10 ================================================================= Total params: 662 Trainable params: 662 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19880331300772153 acc max: 0.9230769271116991 loss mean : 0.24532481107326654 acc mean: 0.900916926751687
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_737 (Dense) (None, 32) 352 _________________________________________________________________ dropout_553 (Dropout) (None, 32) 0 _________________________________________________________________ dense_738 (Dense) (None, 8) 264 _________________________________________________________________ dropout_554 (Dropout) (None, 8) 0 _________________________________________________________________ dense_739 (Dense) (None, 8) 72 _________________________________________________________________ dropout_555 (Dropout) (None, 8) 0 _________________________________________________________________ dense_740 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18630054719172992 acc max: 0.9353846175854023 loss mean : 0.21913178307448442 acc mean: 0.9197492331016981
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_741 (Dense) (None, 32) 352 _________________________________________________________________ dropout_556 (Dropout) (None, 32) 0 _________________________________________________________________ dense_742 (Dense) (None, 8) 264 _________________________________________________________________ dropout_557 (Dropout) (None, 8) 0 _________________________________________________________________ dense_743 (Dense) (None, 8) 72 _________________________________________________________________ dropout_558 (Dropout) (None, 8) 0 _________________________________________________________________ dense_744 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12860387770029214 acc max: 0.9615384652064397 loss mean : 0.18396617836507465 acc mean: 0.9295800038348712
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_745 (Dense) (None, 32) 352 _________________________________________________________________ dropout_559 (Dropout) (None, 32) 0 _________________________________________________________________ dense_746 (Dense) (None, 8) 264 _________________________________________________________________ dropout_560 (Dropout) (None, 8) 0 _________________________________________________________________ dense_747 (Dense) (None, 8) 72 _________________________________________________________________ dropout_561 (Dropout) (None, 8) 0 _________________________________________________________________ dense_748 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19155827036270728 acc max: 0.9415384641060462 loss mean : 0.2414017286060407 acc mean: 0.9153676956695777
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_749 (Dense) (None, 32) 352 _________________________________________________________________ dropout_562 (Dropout) (None, 32) 0 _________________________________________________________________ dense_750 (Dense) (None, 8) 264 _________________________________________________________________ dropout_563 (Dropout) (None, 8) 0 _________________________________________________________________ dense_751 (Dense) (None, 8) 72 _________________________________________________________________ dropout_564 (Dropout) (None, 8) 0 _________________________________________________________________ dense_752 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1890146824488273 acc max: 0.929230773632343 loss mean : 0.23124215905666354 acc mean: 0.9014169272947312
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_753 (Dense) (None, 32) 352 _________________________________________________________________ dropout_565 (Dropout) (None, 32) 0 _________________________________________________________________ dense_754 (Dense) (None, 8) 264 _________________________________________________________________ dropout_566 (Dropout) (None, 8) 0 _________________________________________________________________ dense_755 (Dense) (None, 8) 72 _________________________________________________________________ dropout_567 (Dropout) (None, 8) 0 _________________________________________________________________ dense_756 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17896764571850116 acc max: 0.9384615402955275 loss mean : 0.21369497110602947 acc mean: 0.9217292328012908
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_757 (Dense) (None, 32) 352 _________________________________________________________________ dropout_568 (Dropout) (None, 32) 0 _________________________________________________________________ dense_758 (Dense) (None, 8) 264 _________________________________________________________________ dropout_569 (Dropout) (None, 8) 0 _________________________________________________________________ dense_759 (Dense) (None, 8) 72 _________________________________________________________________ dropout_570 (Dropout) (None, 8) 0 _________________________________________________________________ dense_760 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1290729303084887 acc max: 0.9584615421295166 loss mean : 0.16626145651780644 acc mean: 0.9432600036931037
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_761 (Dense) (None, 32) 352 _________________________________________________________________ dropout_571 (Dropout) (None, 32) 0 _________________________________________________________________ dense_762 (Dense) (None, 8) 264 _________________________________________________________________ dropout_572 (Dropout) (None, 8) 0 _________________________________________________________________ dense_763 (Dense) (None, 8) 72 _________________________________________________________________ dropout_573 (Dropout) (None, 8) 0 _________________________________________________________________ dense_764 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20269100670631116 acc max: 0.9400000025675846 loss mean : 0.24116950631737705 acc mean: 0.9210830799014752
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_765 (Dense) (None, 32) 352 _________________________________________________________________ dropout_574 (Dropout) (None, 32) 0 _________________________________________________________________ dense_766 (Dense) (None, 8) 264 _________________________________________________________________ dropout_575 (Dropout) (None, 8) 0 _________________________________________________________________ dense_767 (Dense) (None, 8) 72 _________________________________________________________________ dropout_576 (Dropout) (None, 8) 0 _________________________________________________________________ dense_768 (Dense) (None, 2) 18 ================================================================= Total params: 706 Trainable params: 706 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20211152113400974 acc max: 0.9261538505554199 loss mean : 0.23949081793922644 acc mean: 0.9036200038548616
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_769 (Dense) (None, 32) 352 _________________________________________________________________ dropout_577 (Dropout) (None, 32) 0 _________________________________________________________________ dense_770 (Dense) (None, 8) 264 _________________________________________________________________ dropout_578 (Dropout) (None, 8) 0 _________________________________________________________________ dense_771 (Dense) (None, 16) 144 _________________________________________________________________ dropout_579 (Dropout) (None, 16) 0 _________________________________________________________________ dense_772 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18245188541137256 acc max: 0.9369230794906617 loss mean : 0.21379031854161848 acc mean: 0.9183169253851359
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_773 (Dense) (None, 32) 352 _________________________________________________________________ dropout_580 (Dropout) (None, 32) 0 _________________________________________________________________ dense_774 (Dense) (None, 8) 264 _________________________________________________________________ dropout_581 (Dropout) (None, 8) 0 _________________________________________________________________ dense_775 (Dense) (None, 16) 144 _________________________________________________________________ dropout_582 (Dropout) (None, 16) 0 _________________________________________________________________ dense_776 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12963518702066862 acc max: 0.9600000036679781 loss mean : 0.164989371881485 acc mean: 0.9438261577466817
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_777 (Dense) (None, 32) 352 _________________________________________________________________ dropout_583 (Dropout) (None, 32) 0 _________________________________________________________________ dense_778 (Dense) (None, 8) 264 _________________________________________________________________ dropout_584 (Dropout) (None, 8) 0 _________________________________________________________________ dense_779 (Dense) (None, 16) 144 _________________________________________________________________ dropout_585 (Dropout) (None, 16) 0 _________________________________________________________________ dense_780 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19773894112843735 acc max: 0.9353846183189979 loss mean : 0.23490799642709584 acc mean: 0.9189476958768185
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_781 (Dense) (None, 32) 352 _________________________________________________________________ dropout_586 (Dropout) (None, 32) 0 _________________________________________________________________ dense_782 (Dense) (None, 8) 264 _________________________________________________________________ dropout_587 (Dropout) (None, 8) 0 _________________________________________________________________ dense_783 (Dense) (None, 16) 144 _________________________________________________________________ dropout_588 (Dropout) (None, 16) 0 _________________________________________________________________ dense_784 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18398785820374122 acc max: 0.9307692351708046 loss mean : 0.21349729070668036 acc mean: 0.9134523119207529
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 8 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_785 (Dense) (None, 32) 352 _________________________________________________________________ dropout_589 (Dropout) (None, 32) 0 _________________________________________________________________ dense_786 (Dense) (None, 8) 264 _________________________________________________________________ dropout_590 (Dropout) (None, 8) 0 _________________________________________________________________ dense_787 (Dense) (None, 16) 144 _________________________________________________________________ dropout_591 (Dropout) (None, 16) 0 _________________________________________________________________ dense_788 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1779796553345827 acc max: 0.9369230794906617 loss mean : 0.2193108007508287 acc mean: 0.9162830792134541
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_789 (Dense) (None, 32) 352 _________________________________________________________________ dropout_592 (Dropout) (None, 32) 0 _________________________________________________________________ dense_790 (Dense) (None, 8) 264 _________________________________________________________________ dropout_593 (Dropout) (None, 8) 0 _________________________________________________________________ dense_791 (Dense) (None, 16) 144 _________________________________________________________________ dropout_594 (Dropout) (None, 16) 0 _________________________________________________________________ dense_792 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13537289628615745 acc max: 0.9584615421295166 loss mean : 0.16933377296268942 acc mean: 0.9417830808591844
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_793 (Dense) (None, 32) 352 _________________________________________________________________ dropout_595 (Dropout) (None, 32) 0 _________________________________________________________________ dense_794 (Dense) (None, 8) 264 _________________________________________________________________ dropout_596 (Dropout) (None, 8) 0 _________________________________________________________________ dense_795 (Dense) (None, 16) 144 _________________________________________________________________ dropout_597 (Dropout) (None, 16) 0 _________________________________________________________________ dense_796 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19938040948831118 acc max: 0.9353846183189979 loss mean : 0.24092312989230338 acc mean: 0.9154723109260889
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_797 (Dense) (None, 32) 352 _________________________________________________________________ dropout_598 (Dropout) (None, 32) 0 _________________________________________________________________ dense_798 (Dense) (None, 8) 264 _________________________________________________________________ dropout_599 (Dropout) (None, 8) 0 _________________________________________________________________ dense_799 (Dense) (None, 16) 144 _________________________________________________________________ dropout_600 (Dropout) (None, 16) 0 _________________________________________________________________ dense_800 (Dense) (None, 2) 34 ================================================================= Total params: 794 Trainable params: 794 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19583658759410566 acc max: 0.9261538501886221 loss mean : 0.22933194419228112 acc mean: 0.9060815421729822
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_801 (Dense) (None, 32) 352 _________________________________________________________________ dropout_601 (Dropout) (None, 32) 0 _________________________________________________________________ dense_802 (Dense) (None, 16) 528 _________________________________________________________________ dropout_602 (Dropout) (None, 16) 0 _________________________________________________________________ dense_803 (Dense) (None, 4) 68 _________________________________________________________________ dropout_603 (Dropout) (None, 4) 0 _________________________________________________________________ dense_804 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18383984132454945 acc max: 0.9384615399287297 loss mean : 0.2187304386124015 acc mean: 0.9197646176990638
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_805 (Dense) (None, 32) 352 _________________________________________________________________ dropout_604 (Dropout) (None, 32) 0 _________________________________________________________________ dense_806 (Dense) (None, 16) 528 _________________________________________________________________ dropout_605 (Dropout) (None, 16) 0 _________________________________________________________________ dense_807 (Dense) (None, 4) 68 _________________________________________________________________ dropout_606 (Dropout) (None, 4) 0 _________________________________________________________________ dense_808 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1369268085864874 acc max: 0.9584615421295166 loss mean : 0.17056990261339222 acc mean: 0.9404461581864721
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_809 (Dense) (None, 32) 352 _________________________________________________________________ dropout_607 (Dropout) (None, 32) 0 _________________________________________________________________ dense_810 (Dense) (None, 16) 528 _________________________________________________________________ dropout_608 (Dropout) (None, 16) 0 _________________________________________________________________ dense_811 (Dense) (None, 4) 68 _________________________________________________________________ dropout_609 (Dropout) (None, 4) 0 _________________________________________________________________ dense_812 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20851404772355006 acc max: 0.9369230794906617 loss mean : 0.24662960603223394 acc mean: 0.9115907727632157
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_813 (Dense) (None, 32) 352 _________________________________________________________________ dropout_610 (Dropout) (None, 32) 0 _________________________________________________________________ dense_814 (Dense) (None, 16) 528 _________________________________________________________________ dropout_611 (Dropout) (None, 16) 0 _________________________________________________________________ dense_815 (Dense) (None, 4) 68 _________________________________________________________________ dropout_612 (Dropout) (None, 4) 0 _________________________________________________________________ dense_816 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19535717863302965 acc max: 0.9261538501886221 loss mean : 0.24756220980882646 acc mean: 0.8974200037796681
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_817 (Dense) (None, 32) 352 _________________________________________________________________ dropout_613 (Dropout) (None, 32) 0 _________________________________________________________________ dense_818 (Dense) (None, 16) 528 _________________________________________________________________ dropout_614 (Dropout) (None, 16) 0 _________________________________________________________________ dense_819 (Dense) (None, 4) 68 _________________________________________________________________ dropout_615 (Dropout) (None, 4) 0 _________________________________________________________________ dense_820 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17538331565948634 acc max: 0.9369230794906617 loss mean : 0.20542028814402907 acc mean: 0.9253076946836252
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_821 (Dense) (None, 32) 352 _________________________________________________________________ dropout_616 (Dropout) (None, 32) 0 _________________________________________________________________ dense_822 (Dense) (None, 16) 528 _________________________________________________________________ dropout_617 (Dropout) (None, 16) 0 _________________________________________________________________ dense_823 (Dense) (None, 4) 68 _________________________________________________________________ dropout_618 (Dropout) (None, 4) 0 _________________________________________________________________ dense_824 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13001250349558316 acc max: 0.9584615424963144 loss mean : 0.16133355091136234 acc mean: 0.9467676962815798
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_825 (Dense) (None, 32) 352 _________________________________________________________________ dropout_619 (Dropout) (None, 32) 0 _________________________________________________________________ dense_826 (Dense) (None, 16) 528 _________________________________________________________________ dropout_620 (Dropout) (None, 16) 0 _________________________________________________________________ dense_827 (Dense) (None, 4) 68 _________________________________________________________________ dropout_621 (Dropout) (None, 4) 0 _________________________________________________________________ dense_828 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20979253347103413 acc max: 0.9384615410291232 loss mean : 0.26108887451731244 acc mean: 0.9102646184199591
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_829 (Dense) (None, 32) 352 _________________________________________________________________ dropout_622 (Dropout) (None, 32) 0 _________________________________________________________________ dense_830 (Dense) (None, 16) 528 _________________________________________________________________ dropout_623 (Dropout) (None, 16) 0 _________________________________________________________________ dense_831 (Dense) (None, 4) 68 _________________________________________________________________ dropout_624 (Dropout) (None, 4) 0 _________________________________________________________________ dense_832 (Dense) (None, 2) 10 ================================================================= Total params: 958 Trainable params: 958 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19052372079629165 acc max: 0.9292307732655452 loss mean : 0.22344949019436652 acc mean: 0.9089892349593456
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_833 (Dense) (None, 32) 352 _________________________________________________________________ dropout_625 (Dropout) (None, 32) 0 _________________________________________________________________ dense_834 (Dense) (None, 16) 528 _________________________________________________________________ dropout_626 (Dropout) (None, 16) 0 _________________________________________________________________ dense_835 (Dense) (None, 8) 136 _________________________________________________________________ dropout_627 (Dropout) (None, 8) 0 _________________________________________________________________ dense_836 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1714716277901943 acc max: 0.9415384641060462 loss mean : 0.20705579061946042 acc mean: 0.9244476947104013
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_837 (Dense) (None, 32) 352 _________________________________________________________________ dropout_628 (Dropout) (None, 32) 0 _________________________________________________________________ dense_838 (Dense) (None, 16) 528 _________________________________________________________________ dropout_629 (Dropout) (None, 16) 0 _________________________________________________________________ dense_839 (Dense) (None, 8) 136 _________________________________________________________________ dropout_630 (Dropout) (None, 8) 0 _________________________________________________________________ dense_840 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1244728032900737 acc max: 0.9630769267449012 loss mean : 0.1724555855180667 acc mean: 0.9385738496650181
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_841 (Dense) (None, 32) 352 _________________________________________________________________ dropout_631 (Dropout) (None, 32) 0 _________________________________________________________________ dense_842 (Dense) (None, 16) 528 _________________________________________________________________ dropout_632 (Dropout) (None, 16) 0 _________________________________________________________________ dense_843 (Dense) (None, 8) 136 _________________________________________________________________ dropout_633 (Dropout) (None, 8) 0 _________________________________________________________________ dense_844 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20567836445111495 acc max: 0.9384615410291232 loss mean : 0.23949538799881936 acc mean: 0.9195553880405426
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_845 (Dense) (None, 32) 352 _________________________________________________________________ dropout_634 (Dropout) (None, 32) 0 _________________________________________________________________ dense_846 (Dense) (None, 16) 528 _________________________________________________________________ dropout_635 (Dropout) (None, 16) 0 _________________________________________________________________ dense_847 (Dense) (None, 8) 136 _________________________________________________________________ dropout_636 (Dropout) (None, 8) 0 _________________________________________________________________ dense_848 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1928596616249818 acc max: 0.9353846190525935 loss mean : 0.22581171468748493 acc mean: 0.911515388360757
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_849 (Dense) (None, 32) 352 _________________________________________________________________ dropout_637 (Dropout) (None, 32) 0 _________________________________________________________________ dense_850 (Dense) (None, 16) 528 _________________________________________________________________ dropout_638 (Dropout) (None, 16) 0 _________________________________________________________________ dense_851 (Dense) (None, 8) 136 _________________________________________________________________ dropout_639 (Dropout) (None, 8) 0 _________________________________________________________________ dense_852 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17547534213616298 acc max: 0.940000001833989 loss mean : 0.20696535709805214 acc mean: 0.9240353865526273
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_853 (Dense) (None, 32) 352 _________________________________________________________________ dropout_640 (Dropout) (None, 32) 0 _________________________________________________________________ dense_854 (Dense) (None, 16) 528 _________________________________________________________________ dropout_641 (Dropout) (None, 16) 0 _________________________________________________________________ dense_855 (Dense) (None, 8) 136 _________________________________________________________________ dropout_642 (Dropout) (None, 8) 0 _________________________________________________________________ dense_856 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13555390110382667 acc max: 0.9615384648396419 loss mean : 0.17904803687058962 acc mean: 0.936515388257962
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_857 (Dense) (None, 32) 352 _________________________________________________________________ dropout_643 (Dropout) (None, 32) 0 _________________________________________________________________ dense_858 (Dense) (None, 16) 528 _________________________________________________________________ dropout_644 (Dropout) (None, 16) 0 _________________________________________________________________ dense_859 (Dense) (None, 8) 136 _________________________________________________________________ dropout_645 (Dropout) (None, 8) 0 _________________________________________________________________ dense_860 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.2062870168685913 acc max: 0.9369230798574595 loss mean : 0.2348268888579882 acc mean: 0.9240784645465705
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_861 (Dense) (None, 32) 352 _________________________________________________________________ dropout_646 (Dropout) (None, 32) 0 _________________________________________________________________ dense_862 (Dense) (None, 16) 528 _________________________________________________________________ dropout_647 (Dropout) (None, 16) 0 _________________________________________________________________ dense_863 (Dense) (None, 8) 136 _________________________________________________________________ dropout_648 (Dropout) (None, 8) 0 _________________________________________________________________ dense_864 (Dense) (None, 2) 18 ================================================================= Total params: 1,034 Trainable params: 1,034 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19053997498292188 acc max: 0.9307692344372089 loss mean : 0.21424426776097372 acc mean: 0.9153107733332194
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_865 (Dense) (None, 32) 352 _________________________________________________________________ dropout_649 (Dropout) (None, 32) 0 _________________________________________________________________ dense_866 (Dense) (None, 16) 528 _________________________________________________________________ dropout_650 (Dropout) (None, 16) 0 _________________________________________________________________ dense_867 (Dense) (None, 16) 272 _________________________________________________________________ dropout_651 (Dropout) (None, 16) 0 _________________________________________________________________ dense_868 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17270564652406253 acc max: 0.9430769249109121 loss mean : 0.2074003405326605 acc mean: 0.9246169252359867
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_869 (Dense) (None, 32) 352 _________________________________________________________________ dropout_652 (Dropout) (None, 32) 0 _________________________________________________________________ dense_870 (Dense) (None, 16) 528 _________________________________________________________________ dropout_653 (Dropout) (None, 16) 0 _________________________________________________________________ dense_871 (Dense) (None, 16) 272 _________________________________________________________________ dropout_654 (Dropout) (None, 16) 0 _________________________________________________________________ dense_872 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12593301319158995 acc max: 0.9615384644728441 loss mean : 0.15928445258585305 acc mean: 0.944024619079003
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_873 (Dense) (None, 32) 352 _________________________________________________________________ dropout_655 (Dropout) (None, 32) 0 _________________________________________________________________ dense_874 (Dense) (None, 16) 528 _________________________________________________________________ dropout_656 (Dropout) (None, 16) 0 _________________________________________________________________ dense_875 (Dense) (None, 16) 272 _________________________________________________________________ dropout_657 (Dropout) (None, 16) 0 _________________________________________________________________ dense_876 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1872796883032872 acc max: 0.9353846186857957 loss mean : 0.23515536827247877 acc mean: 0.9159446189885873
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_877 (Dense) (None, 32) 352 _________________________________________________________________ dropout_658 (Dropout) (None, 32) 0 _________________________________________________________________ dense_878 (Dense) (None, 16) 528 _________________________________________________________________ dropout_659 (Dropout) (None, 16) 0 _________________________________________________________________ dense_879 (Dense) (None, 16) 272 _________________________________________________________________ dropout_660 (Dropout) (None, 16) 0 _________________________________________________________________ dense_880 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18761337385727808 acc max: 0.9353846186857957 loss mean : 0.20837170162223853 acc mean: 0.9191815421806849
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 16 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_881 (Dense) (None, 32) 352 _________________________________________________________________ dropout_661 (Dropout) (None, 32) 0 _________________________________________________________________ dense_882 (Dense) (None, 16) 528 _________________________________________________________________ dropout_662 (Dropout) (None, 16) 0 _________________________________________________________________ dense_883 (Dense) (None, 16) 272 _________________________________________________________________ dropout_663 (Dropout) (None, 16) 0 _________________________________________________________________ dense_884 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1753431791296372 acc max: 0.9384615402955275 loss mean : 0.2033758706396589 acc mean: 0.9268492327926711
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_885 (Dense) (None, 32) 352 _________________________________________________________________ dropout_664 (Dropout) (None, 32) 0 _________________________________________________________________ dense_886 (Dense) (None, 16) 528 _________________________________________________________________ dropout_665 (Dropout) (None, 16) 0 _________________________________________________________________ dense_887 (Dense) (None, 16) 272 _________________________________________________________________ dropout_666 (Dropout) (None, 16) 0 _________________________________________________________________ dense_888 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12916396769193503 acc max: 0.9600000036679781 loss mean : 0.1597926592497184 acc mean: 0.9471907731975043
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_889 (Dense) (None, 32) 352 _________________________________________________________________ dropout_667 (Dropout) (None, 32) 0 _________________________________________________________________ dense_890 (Dense) (None, 16) 528 _________________________________________________________________ dropout_668 (Dropout) (None, 16) 0 _________________________________________________________________ dense_891 (Dense) (None, 16) 272 _________________________________________________________________ dropout_669 (Dropout) (None, 16) 0 _________________________________________________________________ dense_892 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19279413333305945 acc max: 0.938461541395921 loss mean : 0.23944393496192418 acc mean: 0.9170907722731737
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_893 (Dense) (None, 32) 352 _________________________________________________________________ dropout_670 (Dropout) (None, 32) 0 _________________________________________________________________ dense_894 (Dense) (None, 16) 528 _________________________________________________________________ dropout_671 (Dropout) (None, 16) 0 _________________________________________________________________ dense_895 (Dense) (None, 16) 272 _________________________________________________________________ dropout_672 (Dropout) (None, 16) 0 _________________________________________________________________ dense_896 (Dense) (None, 2) 34 ================================================================= Total params: 1,186 Trainable params: 1,186 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19319167063786433 acc max: 0.9276923124606793 loss mean : 0.21674023975647413 acc mean: 0.9135984657342617
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 4 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_897 (Dense) (None, 32) 352 _________________________________________________________________ dropout_673 (Dropout) (None, 32) 0 _________________________________________________________________ dense_898 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_674 (Dropout) (None, 32) 0 _________________________________________________________________ dense_899 (Dense) (None, 4) 132 _________________________________________________________________ dropout_675 (Dropout) (None, 4) 0 _________________________________________________________________ dense_900 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18127957156071295 acc max: 0.9353846186857957 loss mean : 0.21532929971360243 acc mean: 0.9203723103288046
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_901 (Dense) (None, 32) 352 _________________________________________________________________ dropout_676 (Dropout) (None, 32) 0 _________________________________________________________________ dense_902 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_677 (Dropout) (None, 32) 0 _________________________________________________________________ dense_903 (Dense) (None, 4) 132 _________________________________________________________________ dropout_678 (Dropout) (None, 4) 0 _________________________________________________________________ dense_904 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.128335805947964 acc max: 0.9600000036679781 loss mean : 0.17329959766461298 acc mean: 0.9430215425137373
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_905 (Dense) (None, 32) 352 _________________________________________________________________ dropout_679 (Dropout) (None, 32) 0 _________________________________________________________________ dense_906 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_680 (Dropout) (None, 32) 0 _________________________________________________________________ dense_907 (Dense) (None, 4) 132 _________________________________________________________________ dropout_681 (Dropout) (None, 4) 0 _________________________________________________________________ dense_908 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19509172480839948 acc max: 0.9446153871829693 loss mean : 0.2331084570747614 acc mean: 0.9249369259315271
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_909 (Dense) (None, 32) 352 _________________________________________________________________ dropout_682 (Dropout) (None, 32) 0 _________________________________________________________________ dense_910 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_683 (Dropout) (None, 32) 0 _________________________________________________________________ dense_911 (Dense) (None, 4) 132 _________________________________________________________________ dropout_684 (Dropout) (None, 4) 0 _________________________________________________________________ dense_912 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1874773083283351 acc max: 0.9307692348040068 loss mean : 0.2384048617497774 acc mean: 0.9091323117215817
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 4 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_913 (Dense) (None, 32) 352 _________________________________________________________________ dropout_685 (Dropout) (None, 32) 0 _________________________________________________________________ dense_914 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_686 (Dropout) (None, 32) 0 _________________________________________________________________ dense_915 (Dense) (None, 4) 132 _________________________________________________________________ dropout_687 (Dropout) (None, 4) 0 _________________________________________________________________ dense_916 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17553651530009048 acc max: 0.9384615402955275 loss mean : 0.20420576923109018 acc mean: 0.9274876943415863
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_917 (Dense) (None, 32) 352 _________________________________________________________________ dropout_688 (Dropout) (None, 32) 0 _________________________________________________________________ dense_918 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_689 (Dropout) (None, 32) 0 _________________________________________________________________ dense_919 (Dense) (None, 4) 132 _________________________________________________________________ dropout_690 (Dropout) (None, 4) 0 _________________________________________________________________ dense_920 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13641265098865216 acc max: 0.9569230809578528 loss mean : 0.16189753152407133 acc mean: 0.9450707734843402
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_921 (Dense) (None, 32) 352 _________________________________________________________________ dropout_691 (Dropout) (None, 32) 0 _________________________________________________________________ dense_922 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_692 (Dropout) (None, 32) 0 _________________________________________________________________ dense_923 (Dense) (None, 4) 132 _________________________________________________________________ dropout_693 (Dropout) (None, 4) 0 _________________________________________________________________ dense_924 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.20443453504489018 acc max: 0.9353846183189979 loss mean : 0.2400755697878966 acc mean: 0.9201630799165139
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_925 (Dense) (None, 32) 352 _________________________________________________________________ dropout_694 (Dropout) (None, 32) 0 _________________________________________________________________ dense_926 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_695 (Dropout) (None, 32) 0 _________________________________________________________________ dense_927 (Dense) (None, 4) 132 _________________________________________________________________ dropout_696 (Dropout) (None, 4) 0 _________________________________________________________________ dense_928 (Dense) (None, 2) 10 ================================================================= Total params: 1,550 Trainable params: 1,550 Non-trainable params: 0 _________________________________________________________________ loss min : 0.195962773836576 acc max: 0.9292307728987473 loss mean : 0.2271729121026626 acc mean: 0.9112369268885027
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 8 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_929 (Dense) (None, 32) 352 _________________________________________________________________ dropout_697 (Dropout) (None, 32) 0 _________________________________________________________________ dense_930 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_698 (Dropout) (None, 32) 0 _________________________________________________________________ dense_931 (Dense) (None, 8) 264 _________________________________________________________________ dropout_699 (Dropout) (None, 8) 0 _________________________________________________________________ dense_932 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1870167147196256 acc max: 0.940000001833989 loss mean : 0.2182213269313711 acc mean: 0.9194230790961248
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_933 (Dense) (None, 32) 352 _________________________________________________________________ dropout_700 (Dropout) (None, 32) 0 _________________________________________________________________ dense_934 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_701 (Dropout) (None, 32) 0 _________________________________________________________________ dense_935 (Dense) (None, 8) 264 _________________________________________________________________ dropout_702 (Dropout) (None, 8) 0 _________________________________________________________________ dense_936 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.13363505702752335 acc max: 0.9630769267449012 loss mean : 0.15905221815984985 acc mean: 0.9456676965445738
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_937 (Dense) (None, 32) 352 _________________________________________________________________ dropout_703 (Dropout) (None, 32) 0 _________________________________________________________________ dense_938 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_704 (Dropout) (None, 32) 0 _________________________________________________________________ dense_939 (Dense) (None, 8) 264 _________________________________________________________________ dropout_705 (Dropout) (None, 8) 0 _________________________________________________________________ dense_940 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19600842737234556 acc max: 0.9369230798574595 loss mean : 0.23411578890635418 acc mean: 0.9188353880853837
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_941 (Dense) (None, 32) 352 _________________________________________________________________ dropout_706 (Dropout) (None, 32) 0 _________________________________________________________________ dense_942 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_707 (Dropout) (None, 32) 0 _________________________________________________________________ dense_943 (Dense) (None, 8) 264 _________________________________________________________________ dropout_708 (Dropout) (None, 8) 0 _________________________________________________________________ dense_944 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1972661532347019 acc max: 0.9292307732655452 loss mean : 0.22284808190235725 acc mean: 0.9128046194192079
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 8 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_945 (Dense) (None, 32) 352 _________________________________________________________________ dropout_709 (Dropout) (None, 32) 0 _________________________________________________________________ dense_946 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_710 (Dropout) (None, 32) 0 _________________________________________________________________ dense_947 (Dense) (None, 8) 264 _________________________________________________________________ dropout_711 (Dropout) (None, 8) 0 _________________________________________________________________ dense_948 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.16963934808969497 acc max: 0.940000001833989 loss mean : 0.19884180012728161 acc mean: 0.9279184636503001
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_949 (Dense) (None, 32) 352 _________________________________________________________________ dropout_712 (Dropout) (None, 32) 0 _________________________________________________________________ dense_950 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_713 (Dropout) (None, 32) 0 _________________________________________________________________ dense_951 (Dense) (None, 8) 264 _________________________________________________________________ dropout_714 (Dropout) (None, 8) 0 _________________________________________________________________ dense_952 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1292065816659194 acc max: 0.9600000036679781 loss mean : 0.16391478544271912 acc mean: 0.9450015421878374
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_953 (Dense) (None, 32) 352 _________________________________________________________________ dropout_715 (Dropout) (None, 32) 0 _________________________________________________________________ dense_954 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_716 (Dropout) (None, 32) 0 _________________________________________________________________ dense_955 (Dense) (None, 8) 264 _________________________________________________________________ dropout_717 (Dropout) (None, 8) 0 _________________________________________________________________ dense_956 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19660386122190035 acc max: 0.938461541395921 loss mean : 0.23064914725679617 acc mean: 0.9236876954537172
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_957 (Dense) (None, 32) 352 _________________________________________________________________ dropout_718 (Dropout) (None, 32) 0 _________________________________________________________________ dense_958 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_719 (Dropout) (None, 32) 0 _________________________________________________________________ dense_959 (Dense) (None, 8) 264 _________________________________________________________________ dropout_720 (Dropout) (None, 8) 0 _________________________________________________________________ dense_960 (Dense) (None, 2) 18 ================================================================= Total params: 1,690 Trainable params: 1,690 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1942887179668133 acc max: 0.9307692348040068 loss mean : 0.22144676110625267 acc mean: 0.9117538499980707
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 16 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_961 (Dense) (None, 32) 352 _________________________________________________________________ dropout_721 (Dropout) (None, 32) 0 _________________________________________________________________ dense_962 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_722 (Dropout) (None, 32) 0 _________________________________________________________________ dense_963 (Dense) (None, 16) 528 _________________________________________________________________ dropout_723 (Dropout) (None, 16) 0 _________________________________________________________________ dense_964 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1779395970243674 acc max: 0.940000001833989 loss mean : 0.2113063468668323 acc mean: 0.9211046176184599
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_965 (Dense) (None, 32) 352 _________________________________________________________________ dropout_724 (Dropout) (None, 32) 0 _________________________________________________________________ dense_966 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_725 (Dropout) (None, 32) 0 _________________________________________________________________ dense_967 (Dense) (None, 16) 528 _________________________________________________________________ dropout_726 (Dropout) (None, 16) 0 _________________________________________________________________ dense_968 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12284674213482784 acc max: 0.9615384648396419 loss mean : 0.14997937905958064 acc mean: 0.9484153888856447
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_969 (Dense) (None, 32) 352 _________________________________________________________________ dropout_727 (Dropout) (None, 32) 0 _________________________________________________________________ dense_970 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_728 (Dropout) (None, 32) 0 _________________________________________________________________ dense_971 (Dense) (None, 16) 528 _________________________________________________________________ dropout_729 (Dropout) (None, 16) 0 _________________________________________________________________ dense_972 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1823429425404622 acc max: 0.9369230798574595 loss mean : 0.22454238805614984 acc mean: 0.9235723111634988
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_973 (Dense) (None, 32) 352 _________________________________________________________________ dropout_730 (Dropout) (None, 32) 0 _________________________________________________________________ dense_974 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_731 (Dropout) (None, 32) 0 _________________________________________________________________ dense_975 (Dense) (None, 16) 528 _________________________________________________________________ dropout_732 (Dropout) (None, 16) 0 _________________________________________________________________ dense_976 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1882249641418457 acc max: 0.9369230802242573 loss mean : 0.20677113629061444 acc mean: 0.9214092346334457
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 16 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_977 (Dense) (None, 32) 352 _________________________________________________________________ dropout_733 (Dropout) (None, 32) 0 _________________________________________________________________ dense_978 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_734 (Dropout) (None, 32) 0 _________________________________________________________________ dense_979 (Dense) (None, 16) 528 _________________________________________________________________ dropout_735 (Dropout) (None, 16) 0 _________________________________________________________________ dense_980 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1746288978595 acc max: 0.9384615402955275 loss mean : 0.2024659563039587 acc mean: 0.9280338482715532
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_981 (Dense) (None, 32) 352 _________________________________________________________________ dropout_736 (Dropout) (None, 32) 0 _________________________________________________________________ dense_982 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_737 (Dropout) (None, 32) 0 _________________________________________________________________ dense_983 (Dense) (None, 16) 528 _________________________________________________________________ dropout_738 (Dropout) (None, 16) 0 _________________________________________________________________ dense_984 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12368554486678197 acc max: 0.9630769263781034 loss mean : 0.15478472941439883 acc mean: 0.947618465282
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_985 (Dense) (None, 32) 352 _________________________________________________________________ dropout_739 (Dropout) (None, 32) 0 _________________________________________________________________ dense_986 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_740 (Dropout) (None, 32) 0 _________________________________________________________________ dense_987 (Dense) (None, 16) 528 _________________________________________________________________ dropout_741 (Dropout) (None, 16) 0 _________________________________________________________________ dense_988 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19315485610411717 acc max: 0.9369230798574595 loss mean : 0.22829456235468387 acc mean: 0.9218769263836054
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_989 (Dense) (None, 32) 352 _________________________________________________________________ dropout_742 (Dropout) (None, 32) 0 _________________________________________________________________ dense_990 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_743 (Dropout) (None, 32) 0 _________________________________________________________________ dense_991 (Dense) (None, 16) 528 _________________________________________________________________ dropout_744 (Dropout) (None, 16) 0 _________________________________________________________________ dense_992 (Dense) (None, 2) 34 ================================================================= Total params: 1,970 Trainable params: 1,970 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19025110102616824 acc max: 0.9292307732655452 loss mean : 0.2126249331974066 acc mean: 0.9138646195268632
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 32 ] BatchSize: 512 Dropout: 0 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_993 (Dense) (None, 32) 352 _________________________________________________________________ dropout_745 (Dropout) (None, 32) 0 _________________________________________________________________ dense_994 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_746 (Dropout) (None, 32) 0 _________________________________________________________________ dense_995 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_747 (Dropout) (None, 32) 0 _________________________________________________________________ dense_996 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.17934964308371912 acc max: 0.9400000025675846 loss mean : 0.20480099688823405 acc mean: 0.9265676945655164
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_997 (Dense) (None, 32) 352 _________________________________________________________________ dropout_748 (Dropout) (None, 32) 0 _________________________________________________________________ dense_998 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_749 (Dropout) (None, 32) 0 _________________________________________________________________ dense_999 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_750 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1000 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12242275288471809 acc max: 0.9630769260113056 loss mean : 0.15389569618312213 acc mean: 0.9469892343785212
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1001 (Dense) (None, 32) 352 _________________________________________________________________ dropout_751 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1002 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_752 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1003 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_753 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1004 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1678998771539101 acc max: 0.9476923095262968 loss mean : 0.22710248798361193 acc mean: 0.9210723110998594
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1005 (Dense) (None, 32) 352 _________________________________________________________________ dropout_754 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1006 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_755 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1007 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_756 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1008 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18750680620853719 acc max: 0.9400000029343825 loss mean : 0.2143596492400536 acc mean: 0.9218507727059951
======================================================================================================= Activation: sigmoid Loss: categorical_crossentropy HiddenLayer: 3 Node:[ 32 , 32 , 32 ] BatchSize: 512 Dropout: 0.1 처리 중인 폴드 # 0 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1009 (Dense) (None, 32) 352 _________________________________________________________________ dropout_757 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1010 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_758 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1011 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_759 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1012 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.1721293595662484 acc max: 0.9400000014671912 loss mean : 0.20832337164406592 acc mean: 0.9212384635353547
======================================================================================================= 처리 중인 폴드 # 1 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1013 (Dense) (None, 32) 352 _________________________________________________________________ dropout_760 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1014 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_761 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1015 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_762 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1016 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.12076298791628617 acc max: 0.9584615421295166 loss mean : 0.1520645503870799 acc mean: 0.948049234896073
======================================================================================================= 처리 중인 폴드 # 2 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1017 (Dense) (None, 32) 352 _________________________________________________________________ dropout_763 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1018 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_764 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1019 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_765 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1020 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.19495090576318594 acc max: 0.9323076956088726 loss mean : 0.2336632384938002 acc mean: 0.9165353882728172
======================================================================================================= 처리 중인 폴드 # 3 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1021 (Dense) (None, 32) 352 _________________________________________________________________ dropout_766 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1022 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_767 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1023 (Dense) (None, 32) 1056 _________________________________________________________________ dropout_768 (Dropout) (None, 32) 0 _________________________________________________________________ dense_1024 (Dense) (None, 2) 66 ================================================================= Total params: 2,530 Trainable params: 2,530 Non-trainable params: 0 _________________________________________________________________ loss min : 0.18774637905450967 acc max: 0.9292307728987473 loss mean : 0.21057479319375294 acc mean: 0.9158323116839849
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